Method and system for reinforcing power transmission tower in non-power-failure scene

Abstract

The invention discloses a method and a system for reinforcing a power transmission tower in a non-power-failure scene. The method comprises the following steps: acquiring basic parameters of the power transmission tower, non-power-failure exclusive parameters including an electrified environment and a construction additional dynamic load parameter, and screening key parameters according to three characteristics such as instantaneous impact; constructing a coupling finite element model, inputting construction additional dynamic load parameters and key parameters after disturbance, calculating a component-level sensitivity coefficient to screen high-sensitivity components, and judging sensitive point positions; constructing a local fine sub-model to calculate a point location level sensitivity coefficient, and obtaining a non-power-failure core sensitive point location; and finally, matching a reinforcement strategy containing dynamic load control and structure reinforcement. Through the four steps of parameter system construction, sensitivity screening, load control type reinforcement and linkage monitoring, accurate control and structure reinforcement of the dynamic load of the power transmission tower in the non-power-failure state are achieved.

Description

Technical Field

[0001] This invention relates to the field of transmission tower structural safety protection technology, and in particular to a method and system for reinforcing transmission towers in non-power outage scenarios. Background Technology

[0002] The statements in this section are merely background information related to the present invention and do not necessarily constitute prior art.

[0003] Transmission towers, as the backbone of the power grid, are core infrastructure of the power grid and crucial carriers for ensuring the stable transmission of electrical energy. Their structural safety directly impacts the continuity and reliability of power grid operation and maintenance. During long-term service, transmission towers continuously endure dynamic loads such as pulsating winds, conductor galloping, and instantaneous impacts, while also facing the cumulative effects of long-term damage such as corrosion and loose bolts. This leads to a decrease in the load-bearing capacity and stability of some transmission tower structures. Some towers have even suffered severe deformation due to external impacts, rendering them unusable. Furthermore, some transmission towers designed in the 20th century have shown insufficient disaster resistance due to the aggravation of severe weather, often causing faults in the entire line. Therefore, it is urgent to take measures to maintain the safety performance of transmission towers with insufficient load-bearing capacity or those that are damaged.

[0004] However, in the past, most transmission towers with insufficient load-bearing capacity or severe damage were replaced entirely. This not only wastes manpower, material resources, and financial resources, but also sometimes requires changing the route of the power line, resulting in long power outages and significant environmental impacts. Especially when facing a large number of towers requiring renovation, disrupting the power supply can severely impact social production and daily life. Therefore, transmission tower reinforcement technology under non-power outage conditions has become a core research direction in the field of power grid operation and maintenance. Although existing reinforcement technologies based on structural sensitivity can accurately locate structurally sensitive points to a certain extent, they still have significant shortcomings in terms of adaptability to non-power outage scenarios, dynamic load control, and coordination of reinforcement operations, making it difficult to meet the dual requirements of safety and reinforcement effectiveness in energized environments.

[0005] Existing reinforcement technologies for transmission towers with low damage or disaster resistance capabilities primarily revolve around structural sensitivity analysis and static reinforcement. While these technologies can initially locate sensitive points and improve structural load-bearing capacity, they have the following drawbacks when applied in non-power outage scenarios: First, there is a lack of compatibility between dynamic loads and live-line work: traditional sensitivity analysis only includes the dynamic load of the original structure of the transmission tower, without considering the additional dynamic loads generated during non-power outage construction (such as component hoisting impact and high-altitude operation vibration), resulting in analysis results that cannot cover the entire operation scenario; at the same time, the reinforcement methods in the existing technology are not adapted to the electromagnetic environment and safety distance of live conductors, and construction equipment or components are prone to exceed the safety distance (e.g., the safety distance needs to be ≥2.5m in the 220kV scenario and ≥5m in the 500kV scenario), causing safety risks.

[0006] Secondly, there is a disconnect between dynamic load control and reinforcement: existing technologies only improve the structural bearing capacity through static reinforcement (such as adding steel or replacing bolts), lacking a real-time response mechanism for sudden dynamic loads (such as gusts of wind or instantaneous changes in conductor tension) during reinforcement. When sudden loads act on sensitive points, they can easily lead to a sudden increase in local stress, exceeding the bearing limit after static reinforcement, and easily causing local instability of the tower. Summary of the Invention

[0007] To address the aforementioned issues, this invention proposes a method and system for reinforcing transmission towers in non-power outage scenarios. This invention achieves precise dynamic load control and structural reinforcement of transmission towers under non-power outage conditions through a four-step process: "parameter system construction - sensitivity screening - load-controlled reinforcement - linkage monitoring".

[0008] To achieve the above objectives, the present invention adopts the following technical solution: In a first aspect, the present invention provides a method for reinforcing transmission towers in non-power outage scenarios, comprising the following steps: Obtain the basic parameters of the transmission tower, as well as non-outage specific parameters including energized environment parameters and construction-related dynamic load parameters. Based on the characteristics of instantaneous impact type, random action type, and long-term cumulative type factor, filter the key parameters corresponding to the instantaneous impact type, random action type, and long-term cumulative type factor. Based on the basic parameters of the transmission tower and the parameters of the energized environment, a coupled finite element model is constructed. The dynamic load parameters of construction are disturbed, and the dynamic load parameters of construction after the disturbance are input into the finite element model to calculate the component-level sensitivity coefficient. Based on the component-level sensitivity coefficient, highly sensitive components are screened out to determine the sensitive points. A local fine-grained sub-model is constructed based on highly sensitive components and sensitive locations, and the location-level sensitivity coefficient is calculated. Based on the location-level sensitivity coefficient, the non-power outage core sensitive locations are obtained. Based on non-power outage core sensitive points, corresponding reinforcement strategies are matched, including dynamic load control and structural reinforcement.

[0009] As an optional implementation method, it also includes: acquiring dynamic stress data, vibration data and electric field data of non-power outage core sensitive points in real time, and calculating reinforcement effect evaluation indicators including stress reduction rate and vibration attenuation rate, and adjusting the reinforcement strategy or extending the monitoring cycle based on the reinforcement effect evaluation indicators.

[0010] As an optional implementation method, the basic parameters of the transmission tower include the tower type, tower number, tower height, main material, foundation constraint type, conductor and ground wire parameters, hardware, etc., as well as the voltage level of the line to which the transmission tower belongs.

[0011] As an alternative implementation method, the key parameters corresponding to the instantaneous impact type include peak ground acceleration, conductor breakage tension, and de-icing load; the key parameters corresponding to the random action type include wind speed, ice thickness, and pulsating wind turbulence intensity; and the key parameters corresponding to the long-term cumulative type include steel corrosion rate, bolt loosening rate, and material elastic modulus attenuation rate.

[0012] As an optional implementation, the component-level sensitivity coefficient includes the original structure dynamic load sensitivity coefficient and the construction-added load sensitivity coefficient, wherein the calculation formula for the original structure dynamic load sensitivity coefficient is: ;in, The original structure's dynamic load sensitivity coefficient. For the dynamic stress of the component, This refers to the dynamic stress variation of the component. Key parameters corresponding to instantaneous impact type, random effect type, and long-term cumulative type of factor. This represents the change in key parameters.

[0013] As an alternative implementation method, the formula for calculating the construction additional load sensitivity coefficient is as follows: ;in, The sensitivity coefficient for additional construction loads. To add stress during construction, This refers to the change in additional stress during construction. To add dynamic load parameters to the construction, The amount of change in dynamic load parameters added during construction.

[0014] As an alternative implementation method, the method for calculating the point-level sensitivity coefficient is as follows: first, a dual-coefficient coupled correction model is constructed; then, the dual-coefficient coupled correction model is used to correct the original structure's dynamic load sensitivity coefficient and the construction-added load sensitivity coefficient; finally, based on the corrected original structure's dynamic load sensitivity coefficient and the construction-added load sensitivity coefficient, the point-level sensitivity coefficient is calculated; wherein, the dual-coefficient coupled correction model includes an electrified environment-load coupling correction coefficient and a long-term cumulative damage correction coefficient.

[0015] As an alternative implementation, the charged environment-load coupling correction factor is expressed as: ;in, This is the correction factor for the coupling between the charged environment and the load. For voltage level, The distance from the sensitive point to the live conductor. This represents the current in the conductor.

[0016] As an alternative implementation, the long-term cumulative damage correction coefficient is expressed as: ;in, The critical corrosion lifespan is designed for the main material of the transmission tower. This represents the critical threshold for bolt loosening. For corrosion rate, The rate at which the bolts loosen. For time.

[0017] As an alternative implementation, a dual-coefficient coupled correction model is used to correct the original structure's dynamic load sensitivity coefficient and construction-added load sensitivity coefficient, respectively, to obtain the corrected original structure's dynamic load sensitivity coefficient and construction-added load sensitivity coefficient. The corrected original structure's dynamic load sensitivity coefficient is expressed as follows: ;in, This is the corrected dynamic load sensitivity coefficient of the original structure. This is the correction factor for the coupling between the charged environment and the load. Long-term cumulative damage correction factor.

[0018] As an alternative implementation method, the modified sensitivity coefficient to additional construction loads is expressed as: ;in, The revised sensitivity coefficient to additional construction loads. This is the correction factor for the coupling between the charged environment and the load. Long-term cumulative damage correction factor.

[0019] As an alternative implementation, the formula for calculating the point-level sensitivity coefficient is as follows: + ;in, This is the point-level sensitivity coefficient. , All are weighting coefficients. This is the corrected dynamic load sensitivity coefficient of the original structure. This is the revised sensitivity coefficient to additional construction loads.

[0020] Secondly, the present invention provides a transmission tower reinforcement system for non-power outage scenarios, comprising the following modules: The data acquisition module is configured to acquire basic parameters of the transmission tower, as well as non-outage-specific parameters including energized environment parameters and construction-related dynamic load parameters, and to filter key parameters corresponding to instantaneous impact type, random action type, and long-term cumulative type factor type according to their action characteristics. The coarse screening module is configured to: construct a coupled finite element model based on the basic parameters of the transmission tower and the parameters of the energized environment; apply disturbance to the construction additional dynamic load parameters; input the construction additional dynamic load parameters and key parameters after the disturbance to the finite element model; calculate the component-level sensitivity coefficient; and screen out highly sensitive components based on the component-level sensitivity coefficient to determine sensitive points. The refinement module is configured to: construct a local refined sub-model based on highly sensitive components and sensitive points, calculate point-level sensitivity coefficients, and obtain non-power outage core sensitive points based on the point-level sensitivity coefficients; The strategy execution module is configured to match corresponding reinforcement strategies based on non-power outage core sensitive points, where the reinforcement strategies include dynamic load control and structural reinforcement.

[0021] As an optional implementation, an adjustment module is also included, configured to: acquire dynamic stress data, vibration data, and electric field data of non-power outage core sensitive points in real time, calculate reinforcement effect evaluation indicators including stress reduction rate and vibration attenuation rate, and adjust the reinforcement strategy or extend the monitoring cycle based on the reinforcement effect evaluation indicators.

[0022] As an optional implementation, the basic parameters of the transmission tower include the tower type, tower number, tower height, main material, foundation constraint type, and voltage level of the line to which the transmission tower belongs.

[0023] As an alternative implementation method, the key parameters corresponding to the instantaneous impact type include peak ground acceleration, conductor breakage tension, and de-icing load; the key parameters corresponding to the random action type include wind speed, ice thickness, and pulsating wind turbulence intensity; and the key parameters corresponding to the long-term cumulative type include steel corrosion rate, bolt loosening rate, and material elastic modulus attenuation rate.

[0024] As an alternative implementation method, the method for calculating the point-level sensitivity coefficient is as follows: first, a dual-coefficient coupled correction model is constructed; then, the dual-coefficient coupled correction model is used to correct the original structure's dynamic load sensitivity coefficient and the construction-added load sensitivity coefficient; finally, based on the corrected original structure's dynamic load sensitivity coefficient and the construction-added load sensitivity coefficient, the point-level sensitivity coefficient is calculated; wherein, the dual-coefficient coupled correction model includes an electrified environment-load coupling correction coefficient and a long-term cumulative damage correction coefficient.

[0025] Thirdly, the present invention provides an electronic device, including a memory and a processor, and computer instructions stored in the memory and running on the processor, wherein the computer instructions, when executed by the processor, complete the transmission tower reinforcement method in a non-power outage scenario described in the first aspect.

[0026] Fourthly, the present invention provides a computer-readable storage medium for storing computer instructions, which, when executed by a processor, complete the transmission tower reinforcement method under non-power outage scenarios described in the first aspect.

[0027] Fifthly, the present invention provides a computer program product, including a computer program, which, when executed by a processor, implements the transmission tower reinforcement method in a non-power outage scenario described in the first aspect.

[0028] Compared with the prior art, the beneficial effects of the present invention are as follows: This invention acquires non-outage-specific parameters, including energized environment parameters and construction-related dynamic load parameters. Key parameters are categorized into "instantaneous impact type, random action type, and long-term cumulative type" to ensure the parameter system covers the entire scenario of "original structural dynamic load + non-outage construction load + energized environment constraints," avoiding the limitations of traditional analysis that only focuses on the original structural load. Furthermore, when constructing the coupled finite element model, based on "transmission tower basic parameters and energized environment parameters," the energized safety distance is used as an implicit boundary condition. This ensures that subsequent sensitivity calculations and sensitive point judgments revolve around "not exceeding the energized safety threshold," preventing insufficient safety distances between construction equipment, reinforcement components, and energized conductors from the outset, completely eliminating the risk of line tripping and equipment damage, and achieving a high degree of compatibility between reinforcement operations and the energized environment.

[0029] This invention provides a precise basis for dynamic load control and structural reinforcement through a two-tiered sensitive point location mechanism: first, by calculating the component-level sensitivity coefficient, the range of risky components is initially identified; second, the point-level sensitivity coefficient is further calculated to ultimately obtain the core sensitive points before power outages. This approach considers both the influence of the original structure's dynamic load and the risks of additional dynamic loads during construction, ensuring that the positioning error of the core sensitive points is ≤50mm, a 40% improvement in accuracy compared to traditional methods. Based on the core sensitive points before power outages, the matched reinforcement strategies, including dynamic load control and structural reinforcement, can directly target the points with the highest concentration of risk, avoiding the problem of traditional reinforcement's "comprehensive coverage without highlighting key areas." This achieves precise matching between dynamic load control and structural reinforcement, ensuring that reinforcement measures can directly offset the dynamic load influence of the core points and significantly reduce the risk of stress exceeding limits.

[0030] Advantages of additional aspects of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. Attached Figure Description

[0031] The accompanying drawings, which form part of this invention, are used to provide a further understanding of the invention. The illustrative embodiments of the invention and their descriptions are used to explain the invention and do not constitute an improper limitation of the invention.

[0032] Figure 1 This is a flowchart illustrating a method for reinforcing transmission towers in non-power outage scenarios, as provided in Embodiment 1 of the present invention. Detailed Implementation

[0033] The present invention will be further described below with reference to the accompanying drawings and embodiments.

[0034] It should be noted that the following detailed description is exemplary and intended to provide further illustration of the invention. Unless otherwise specified, 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 invention pertains.

[0035] It should be noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the exemplary embodiments of the invention. As used herein, unless the context clearly indicates otherwise, the singular form is intended to include the plural form as well. Furthermore, it should be understood that the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but includes other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0036] Where there is no conflict, the embodiments and features in the embodiments of the present invention can be combined with each other.

[0037] Example 1 like Figure 1 As shown, this embodiment provides a method for reinforcing transmission towers in non-power outage scenarios, including the following steps: S1: Obtain the basic parameters of the transmission tower, as well as non-outage specific parameters including energized environment parameters and construction-related dynamic load parameters. Based on the characteristics of instantaneous impact type, random action type, and long-term cumulative type factors, filter the key parameters corresponding to the instantaneous impact type, random action type, and long-term cumulative type factors respectively.

[0038] In step S1, the basic parameters of the transmission tower obtained include the tower type, tower number, tower height, main material (e.g., Q235, Q355 steel), foundation constraint type, and the voltage level of the line to which the transmission tower belongs (e.g., 220kV / 500kV), conductors, ground wires, lightning protection wires, and hardware, etc. Taking a coastal 500kV cat-head type transmission tower (non-power outage reinforcement) as an example, the obtained tower height is 45m, the main material of the transmission tower is Q355 steel, the angle steel specification is L140×12, and the foundation is a reinforced concrete independent foundation (fixed end constraint).

[0039] Based on the characteristics of factors that are instantaneous, random, or long-term cumulative, the corresponding key parameters are selected respectively, namely: instantaneous impact key parameters, random effect key parameters, and long-term cumulative key parameters.

[0040] In this embodiment, the key parameters for instantaneous impact include peak ground acceleration (determined according to GB 50011 "Code for Seismic Design of Buildings", such as 0.3g to 0.5g), conductor breakage tension (taken as 1.1 to 1.3 times the design tension), and de-icing load (calculated as 50% to 80% of the weight of ice).

[0041] Key parameters for random effects include wind speed (fitted to Weibull distribution based on local meteorological data, mean 20–30 m / s, variance 5–8 m / s), icing thickness (statistically based on extreme value type I distribution, 5–10 mm in light icing areas, >20 mm in heavy icing areas), and pulsating wind turbulence intensity (0.1–0.3).

[0042] Long-term cumulative key parameters include steel corrosion rate (0.1-0.3 mm / year in coastal areas and 0.05-0.1 mm / year in inland areas), bolt loosening rate (2%-5% decrease in preload per year), and material elastic modulus attenuation rate (0.1%-0.2% decrease per year).

[0043] Non-power outage-specific parameters include energized environment parameters and construction-related dynamic load parameters. Among them, energized environment parameters: determine the safety distance (220kV≥2.5m, 500kV≥5m) according to the "Electric Power Safety Work Regulations", and record the electric field strength of the conductor to ground (highlighting areas ≥300kV / m); construction-related dynamic load parameters: set the component hoisting impact coefficient to 1.2~1.5, the high-altitude operation vibration frequency to 2~5Hz, and the temporary support reaction force to be 1.1~1.3 times the weight of the reinforced component, and clarify the parameter disturbance range (±10%).

[0044] S2: Based on the basic parameters of the transmission tower and the parameters of the energized environment, a coupled finite element model is constructed. The dynamic load parameters of construction are disturbed, and the dynamic load parameters of construction after disturbance and the key parameters are input into the finite element model to calculate the component-level sensitivity coefficient. Based on the component-level sensitivity coefficient, highly sensitive components are screened out to determine the sensitive points.

[0045] In step S2, a coupled finite element model is constructed using ANSYS or Midas Gen software. Components are simulated using beam elements. Specifically, the main structural members, diagonal members, crossarms, and grounding wire supports of the transmission tower are all modeled using beam elements (such as the Beam188 element in ANSYS or the BEAM element in Midas Gen). Beam elements can effectively simulate the axial force, bending moment, and shear force transmission characteristics of the components, consistent with the load-bearing characteristics of transmission tower components, which are "primarily axial force, supplemented by bending and shear." Among these, the main structural members bear the vertical load and overall stability of the tower, serving as the core load-bearing components. The diagonal members transmit horizontal loads (such as wind loads and icing loads), enhancing the lateral stiffness of the tower. The crossarms bear the weight of the conductors and fittings, as well as the conductor tension, making them key components for lateral load-bearing. The grounding wire supports fix the lightning protection wire, bearing the lightning protection wire tension and wind load, and are also important load-bearing components.

[0046] Nodes are defined as rigid or hinged according to their actual construction. Specifically, based on the actual construction of the transmission tower, nodes are divided into two categories: "rigid" and "hinged." Bolted connections between the main tower body and diagonal members, and welded connections between the tower head crossarm and the main tower body are defined as rigid (which need to transmit bending and torque). Bolted connections of secondary auxiliary components (such as small-sized diagonal braces) are defined as hinged (which only transmit axial force and ignore bending and shear effects), ensuring that the stress state of the nodes is consistent with the actual engineering situation.

[0047] In step S2, the energized safety distance is used as the boundary condition of the coupled finite element model to prohibit the reinforced components and construction equipment from exceeding the safety distance range; and in this embodiment, the dynamic load calculation needs to superimpose the key parameters corresponding to the instantaneous impact type, random action type, and long-term cumulative type + construction additional load to ensure that the analysis covers the entire scenario of non-power outage reinforcement.

[0048] In step S2, the component-level sensitivity coefficient includes the original structure's dynamic load sensitivity coefficient and the construction-added load sensitivity coefficient. The calculation formula for the original structure's dynamic load sensitivity coefficient is as follows: ;in, The original structure's dynamic load sensitivity coefficient. For the dynamic stress of the component, This refers to the dynamic stress variation of the component. Key parameters corresponding to instantaneous impact type, random effect type, and long-term cumulative type of factor. This refers to changes in key parameters.

[0049] The formula for calculating the sensitivity coefficient to additional construction loads is as follows: ;in, The sensitivity coefficient for additional construction loads. To add stress during construction, This refers to the change in additional stress during construction. To add dynamic load parameters to the construction, The amount of change in dynamic load parameters added during construction.

[0050] Based on the absolute values ​​of the original structure's dynamic load sensitivity coefficient and the construction additional load sensitivity coefficient, the top 35% of components (such as tower head crossarms and the connection section between the bottom main material and temporary support) are selected as highly sensitive components.

[0051] Sensitive locations are identified as: load concentration points, geometrically weak points, and areas near charged surfaces.

[0052] S3: Construct a local fine sub-model based on highly sensitive components and sensitive points, and calculate the point-level sensitivity coefficient. Based on the point-level sensitivity coefficient, obtain the non-power outage core sensitive points.

[0053] In step S3, a local fine-grained sub-model is constructed based on highly sensitive components and sensitive points, specifically as follows: Node-type points (such as gusset plate holes): Replace the beam elements in the coupled finite element model with solid elements (such as ANSYS Solid186) to accurately simulate the geometric details of gusset plates, bolts, and angle steel (including bolt hole diameter and weld height), and refine the mesh size to 10-20mm.

[0054] For component cross-sections (such as variable cross-sections): the sub-model method is used to extract the boundary conditions (internal forces, displacements) of the cross-section in the coupled finite element model, establish a local sub-model and apply boundary conditions, with the mesh size being 1 / 5 to 1 / 10 of the overall model.

[0055] In step S3, considering that under non-power outage scenarios, the stress response of the core sensitive points of the transmission tower is affected by the superposition of four factors: "electromagnetic force of the energized environment," "long-term cumulative damage (corrosion / bolt loosening)," "original structural dynamic load," and "construction-added load," this embodiment introduces a dual-coefficient coupled correction model. First, a dual-coefficient coupled correction model is constructed. Then, the dual-coefficient coupled correction model is used to correct the sensitivity coefficients of the original structural dynamic load and the construction-added load. Finally, based on the corrected sensitivity coefficients of the original structural dynamic load and the construction-added load, the point-level sensitivity coefficient is calculated. The dual-coefficient coupled correction model includes an energized environment-load coupling correction coefficient and a long-term cumulative damage correction coefficient.

[0056] In this embodiment, the charged environment-load coupling correction factor is expressed as: ;in, This is the correction factor for the coupling between the charged environment and the load. For voltage level, The distance from the sensitive point to the live conductor. Let be the current in the conductor. If... ≥Safe distance (220kV≥2.5m, 500kV≥5m), then =1.0 (the effect of electromagnetic force is negligible, avoid over-correction); if <1.2 times the safe distance (near high-risk electrified areas), mandatory calculation .

[0057] The long-term cumulative damage correction factor is expressed as: ;in, The critical corrosion lifespan is designed for the main material of the transmission tower. This represents the critical threshold for bolt loosening. For corrosion rate, The rate at which the bolts loosen. For time.

[0058] In this embodiment, the corrosion rate =0.1~0.3mm / year, bolt loosening rate =2%~5% / year, Design the critical corrosion lifespan for the main material of the transmission tower (e.g., Q355 steel) (default 20 years, in line with power grid tower design standards); Correction rule: If ≤5 years (long-term damage is negligible), then =1.0; if ≥1.5 (to avoid over-correction), take 1.5.

[0059] The dynamic load sensitivity coefficient and construction-added load sensitivity coefficient of the original structure are corrected using a dual-coefficient coupled correction model, yielding the corrected dynamic load sensitivity coefficient and construction-added load sensitivity coefficient of the original structure, respectively. The corrected dynamic load sensitivity coefficient of the original structure is expressed as: ;in, This is the corrected dynamic load sensitivity coefficient of the original structure. This is the correction factor for the coupling between the charged environment and the load. Long-term cumulative damage correction factor.

[0060] The revised sensitivity coefficient to additional construction loads is expressed as follows: ;in, The revised sensitivity coefficient to additional construction loads. This is the correction factor for the coupling between the charged environment and the load. Long-term cumulative damage correction factor.

[0061] The formula for calculating the point-level sensitivity coefficient is as follows: + ;in, This is the point-level sensitivity coefficient. , All are weighting coefficients. This is the corrected dynamic load sensitivity coefficient of the original structure. This is the corrected sensitivity coefficient to additional construction loads. In this embodiment, , =0.4.

[0062] according to Sort by absolute value, select the top 20% of points as "non-power outage core sensitive points", and output a list of points including three-dimensional coordinates and risk type.

[0063] S4: Based on non-power outage core sensitive points, match the corresponding reinforcement strategy, which includes dynamic load control and structural reinforcement.

[0064] In step S4, for points sensitive to instantaneous impact and construction loads: Treatment of gusset plate holes: Structural reinforcement includes welding arc-shaped reinforcing steel plates (2-3mm thicker than the gusset plate) around the holes to reduce the stress concentration factor from 3.0-4.0 to 1.2-1.5; Dynamic load control includes simultaneously installing hydraulic buffers (maximum stroke 50mm, damping coefficient 10-20kN) on top of temporary supports. (s / m), to offset the impact load of hoisting.

[0065] Bolt upgrade: Structural reinforcement includes replacing the original bolts with 12.9 grade high-strength insulated bolts (insulation coating thickness 5~8mm, withstand voltage ≥10kV) to avoid electric field concentration; during installation, the preload is controlled by a torque wrench with an error ≤±5%.

[0066] For locations sensitive to random wind loads: Structural reinforcement includes fixing an insulating composite material guide plate (thickness 4~6mm, dielectric loss ≤0.01) on the windward side of the crossarm, optimizing the aerodynamic shape, and reducing the wind vibration coefficient from 1.5~2.0 to 1.1~1.3.

[0067] Dynamic load control includes using an insulating support (insulation strength ≥ 20kV) to connect a magnetorheological damper (response time ≤ 20ms, damping coefficient adjustment range 0~50kN). The damper (s / m) is installed between the crossarm and the tower body. The damper control line uses shielded insulated cable to avoid electromagnetic interference.

[0068] For locations sensitive to long-term accumulation and charged environments: Structural reinforcement includes hot-dip galvanizing (80-100 μm thickness) on the lower flange and damp joints of the base material, followed by coating with weather-resistant insulating paint (60-80 μm thickness, volume resistivity ≥10¹²Ω). (cm), reducing the corrosion rate from 0.2 mm / year to below 0.05 mm / year.

[0069] Dynamic load control includes attaching an insulating corrosion sensor (measurement range 0~5mm, accuracy ±0.01mm) to the surface of the component. The sensor cable is run through an insulating protective tube and is kept at a distance from the live part greater than or equal to 1.2 times the safe distance.

[0070] S5: Real-time acquisition of dynamic stress data, vibration data, and electric field data of non-power outage core sensitive points, and calculation of reinforcement effect evaluation indicators including stress reduction rate and vibration attenuation rate. Based on the reinforcement effect evaluation indicators, the reinforcement strategy is adjusted or the monitoring cycle is extended.

[0071] In step S5, insulated strain sensors (range ±3000με, insulation strength ≥20kV) and triaxial accelerometers (range ±10g, frequency response 0~500Hz) are installed at non-power-outage core sensitive points to collect dynamic stress and vibration data. Electric field sensors (measurement range 0~500kV / m, accuracy ±5%) are deployed around the construction area to acquire electric field data and monitor the electric field strength in real time.

[0072] In this embodiment, according to the design specifications, the dynamic stress safety threshold (≤80% of the design value) and the electric field strength safety threshold (≤300kV / m) are set.

[0073] When the strain sensor detects dynamic stress > 85% of the design value: the hydraulic buffer increases the damping coefficient to the maximum value, and the magnetorheological damper outputs the corresponding damping force to reduce the stress to below 70% of the design value.

[0074] When the electric field sensor detects that the electric field strength is greater than the safety threshold, it prompts the construction personnel to adjust the equipment position until the electric field strength returns to the safe range.

[0075] Step 5 also includes periodic evaluation: monitoring data is extracted every month, compared with the baseline value before reinforcement, and the stress reduction rate and vibration attenuation rate are calculated; scheme adjustment: if the stress is stable below 60% of the design value and the vibration attenuation rate is ≥40%, the monitoring cycle is extended to 3 months; if the stress is still >75% of the design value, the thickness of the reinforcing steel plate is increased or the damper parameters are adjusted; record archiving: after each evaluation, a "Non-Power Outage Reinforcement Effect Report" is generated, which includes monitoring data, control command records, and optimization measures, forming a closed-loop management archive.

[0076] Example 2 This embodiment provides a transmission tower reinforcement system for non-power outage scenarios, including the following modules: The data acquisition module is configured to acquire basic parameters of the transmission tower, as well as non-outage-specific parameters including energized environment parameters and construction-related dynamic load parameters, and to filter key parameters corresponding to instantaneous impact type, random action type, and long-term cumulative type factor type according to their action characteristics. The coarse screening module is configured to: construct a coupled finite element model based on the basic parameters of the transmission tower and the parameters of the energized environment; apply disturbance to the construction additional dynamic load parameters; input the construction additional dynamic load parameters and key parameters after the disturbance to the finite element model; calculate the component-level sensitivity coefficient; and screen out highly sensitive components based on the component-level sensitivity coefficient to determine sensitive points. The refinement module is configured to: construct a local refined sub-model based on highly sensitive components and sensitive points, calculate point-level sensitivity coefficients, and obtain non-power outage core sensitive points based on the point-level sensitivity coefficients; The strategy execution module is configured to match corresponding reinforcement strategies based on non-power outage core sensitive points, where the reinforcement strategies include dynamic load control and structural reinforcement.

[0077] It should be noted that the above modules correspond to the steps in Embodiment 1, and the examples and application scenarios implemented by the above modules and their corresponding steps are the same, but are not limited to the content disclosed in Embodiment 1. It should also be noted that the above modules can be executed in a computer system as part of the system.

[0078] In further embodiments, the following is also provided: An electronic device includes a memory and a processor, as well as computer instructions stored in the memory and running on the processor, which, when executed by the processor, perform the method described in Embodiment 1. For brevity, further details are omitted here.

[0079] It should be understood that in this embodiment, the processor can be a central processing unit (CPU), or it can be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor can be a microprocessor or any conventional processor.

[0080] A computer-readable storage medium for storing computer instructions that, when executed by a processor, perform the method of Embodiment 1.

[0081] The method in Example 1 can be directly executed by a hardware processor, or it can be executed by a combination of hardware and software modules within the processor. The software modules can reside in readily available storage media in the art, such as random access memory, flash memory, read-only memory, programmable read-only memory, electrically erasable programmable memory, or registers. This storage medium is located in memory; the processor reads information from the memory and, in conjunction with its hardware, completes the steps of the above method. To avoid repetition, a detailed description is not provided here.

[0082] A computer program product includes a computer program that, when executed by a processor, implements the method in Embodiment 1.

[0083] The present invention also provides at least one computer program product tangibly stored on a non-transitory computer-readable storage medium. The computer program product includes computer-executable instructions, such as instructions included in program modules, which execute in a device on a target real or virtual processor to perform the processes / methods described above. Typically, program modules include routines, programs, libraries, objects, classes, components, data structures, etc., that perform specific tasks or implement specific abstract data types. In various embodiments, the functionality of program modules can be combined or divided among program modules as needed. The machine-executable instructions for the program modules can execute within a local or distributed device. In a distributed device, the program modules can reside in both local and remote storage media.

[0084] The computer program code used to implement the methods of the present invention may be written in one or more programming languages. This computer program code may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when executed by the computer or other programmable data processing device, the program code causes the functions / operations specified in the flowcharts and / or block diagrams to be implemented. The program code may be executed entirely on a computer, partially on a computer, as a stand-alone software package, partially on a computer and partially on a remote computer, or entirely on a remote computer or server.

[0085] In the context of this invention, computer program code or related data may be carried by any suitable carrier to enable a device, apparatus, or processor to perform the various processes and operations described above. Examples of carriers include signals, computer-readable media, and the like. Examples of signals may include electrical, optical, radio, sound, or other forms of propagation signals, such as carrier waves, infrared signals, etc.

[0086] Those skilled in the art will recognize that the units and algorithm steps described in conjunction with the embodiments herein can be implemented in electronic hardware or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0087] While the specific embodiments of the present invention have been described above in conjunction with the accompanying drawings, this is not intended to limit the scope of protection of the present invention. Those skilled in the art should understand that various modifications or variations that can be made by those skilled in the art without creative effort based on the technical solutions of the present invention are still within the scope of protection of the present invention.

Claims

1. A method for reinforcing transmission towers in non-power outage scenarios, characterized in that, Includes the following steps: Obtain the basic parameters of the transmission tower, as well as non-outage specific parameters including energized environment parameters and construction-related dynamic load parameters. Based on the characteristics of instantaneous impact type, random action type, and long-term cumulative type factor, filter the key parameters corresponding to the instantaneous impact type, random action type, and long-term cumulative type factor. Based on the basic parameters of the transmission tower and the parameters of the energized environment, a coupled finite element model is constructed. The dynamic load parameters of construction are disturbed, and the dynamic load parameters of construction after the disturbance are input into the finite element model to calculate the component-level sensitivity coefficient. Based on the component-level sensitivity coefficient, highly sensitive components are screened out to determine the sensitive points. A local fine-grained sub-model is constructed based on highly sensitive components and sensitive locations, and the location-level sensitivity coefficient is calculated. Based on the location-level sensitivity coefficient, the non-power outage core sensitive locations are obtained. Based on non-power outage core sensitive points, corresponding reinforcement strategies are matched, including dynamic load control and structural reinforcement.

2. The method for reinforcing transmission towers in non-power outage scenarios as described in claim 1, characterized in that, Also includes: Real-time acquisition of dynamic stress data, vibration data, and electric field data of non-power outage core sensitive points, and calculation of reinforcement effect evaluation indicators including stress reduction rate and vibration attenuation rate. Based on the reinforcement effect evaluation indicators, the reinforcement strategy is adjusted or the monitoring cycle is extended.

3. The method for reinforcing transmission towers in non-power outage scenarios as described in claim 1, characterized in that, The basic parameters of the transmission tower include the tower type, tower number, tower height, main material, foundation constraint type, and voltage level of the line to which the transmission tower belongs.

4. The method for reinforcing transmission towers in non-power outage scenarios as described in claim 1, characterized in that, The key parameters corresponding to the instantaneous impact type include peak ground acceleration, conductor breakage tension, and de-icing load; the key parameters corresponding to the random action type include wind speed, ice thickness, and pulsating wind turbulence intensity; and the key parameters corresponding to the long-term cumulative type include steel corrosion rate, bolt loosening rate, and material elastic modulus attenuation rate.

5. The method for reinforcing transmission towers in non-power outage scenarios as described in claim 1, characterized in that, The component-level sensitivity coefficient includes the original structure dynamic load sensitivity coefficient and the construction-added load sensitivity coefficient, wherein the calculation formula for the original structure dynamic load sensitivity coefficient is: ;in, The original structure's dynamic load sensitivity coefficient. For the dynamic stress of the component, This refers to the dynamic stress variation of the component. Key parameters corresponding to instantaneous impact type, random effect type, and long-term cumulative type of factor. This represents the change in key parameters.

6. The method for reinforcing transmission towers in non-power outage scenarios as described in claim 1, characterized in that, The formula for calculating the sensitivity coefficient to additional construction loads is as follows: ;in, The sensitivity coefficient for additional construction loads. To add stress during construction, This refers to the change in additional stress during construction. To add dynamic load parameters to the construction, The amount of change in dynamic load parameters added during construction.

7. The method for reinforcing transmission towers in non-power outage scenarios as described in claim 1, characterized in that, The method for calculating the point-level sensitivity coefficient is as follows: First, a dual-coefficient coupled correction model is constructed. Then, the original structure's dynamic load sensitivity coefficient and construction-added load sensitivity coefficient are corrected using the dual-coefficient coupled correction model. Finally, based on the corrected original structure's dynamic load sensitivity coefficient and construction-added load sensitivity coefficient, the point-level sensitivity coefficient is calculated. The dual-coefficient coupled correction model includes an electrified environment-load coupling correction coefficient and a long-term cumulative damage correction coefficient.

8. The method for reinforcing transmission towers in non-power outage scenarios as described in claim 7, characterized in that, The electric environment-load coupling correction factor is expressed as follows: ;in, This is the correction factor for the coupling between the charged environment and the load. For voltage level, The distance from the sensitive point to the live conductor. This represents the current in the conductor.

9. The method for reinforcing transmission towers in non-power outage scenarios as described in claim 7, characterized in that, The long-term cumulative damage correction factor is expressed as follows: ;in, The critical corrosion lifespan is designed for the main material of the transmission tower. This represents the critical threshold for bolt loosening. For corrosion rate, The rate at which the bolts loosen. For time.

10. The method for reinforcing transmission towers in non-power outage scenarios as described in claim 7, characterized in that, The original structure's dynamic load sensitivity coefficient and construction-added load sensitivity coefficient are corrected using a dual-coefficient coupled correction model, yielding the corrected original structure's dynamic load sensitivity coefficient and construction-added load sensitivity coefficient, respectively. The corrected original structure's dynamic load sensitivity coefficient is expressed as follows: ;in, This is the corrected dynamic load sensitivity coefficient of the original structure. This is the correction factor for the coupling between the charged environment and the load. Long-term cumulative damage correction factor.

11. The method for reinforcing transmission towers in non-power outage scenarios as described in claim 7, characterized in that, The revised sensitivity coefficient to additional construction loads is expressed as follows: ;in, The revised sensitivity coefficient to additional construction loads. This is the correction factor for the coupling between the charged environment and the load. Long-term cumulative damage correction factor.

12. The method for reinforcing transmission towers in non-power outage scenarios as described in claim 1, characterized in that, The formula for calculating the point-level sensitivity coefficient is as follows: + ;in, This is the point-level sensitivity coefficient. , All are weighting coefficients. This is the corrected dynamic load sensitivity coefficient of the original structure. This is the revised sensitivity coefficient to additional construction loads.

13. A transmission tower reinforcement system for non-power outage scenarios, characterized in that, Includes the following modules: The data acquisition module is configured to acquire basic parameters of the transmission tower, as well as non-outage-specific parameters including energized environment parameters and construction-related dynamic load parameters, and to filter key parameters corresponding to instantaneous impact type, random action type, and long-term cumulative type factor type according to their action characteristics. The coarse screening module is configured to: construct a coupled finite element model based on the basic parameters of the transmission tower and the parameters of the energized environment; apply disturbance to the construction additional dynamic load parameters; input the construction additional dynamic load parameters and key parameters after the disturbance to the finite element model; calculate the component-level sensitivity coefficient; and screen out highly sensitive components based on the component-level sensitivity coefficient to determine sensitive points. The refinement module is configured to: construct a local refined sub-model based on highly sensitive components and sensitive points, calculate point-level sensitivity coefficients, and obtain non-power outage core sensitive points based on the point-level sensitivity coefficients; The strategy execution module is configured to match corresponding reinforcement strategies based on non-power outage core sensitive points, where the reinforcement strategies include dynamic load control and structural reinforcement.

14. The transmission tower reinforcement system for non-power outage scenarios as described in claim 13, characterized in that, It also includes an adjustment module, which is configured to: acquire dynamic stress data, vibration data and electric field data of non-power outage core sensitive points in real time, and calculate reinforcement effect evaluation indicators including stress reduction rate and vibration attenuation rate, and adjust the reinforcement strategy or extend the monitoring cycle based on the reinforcement effect evaluation indicators.

15. The transmission tower reinforcement system for non-power outage scenarios as described in claim 13, characterized in that, The basic parameters of the transmission tower include the tower type, tower number, tower height, main material, foundation constraint type, and voltage level of the line to which the transmission tower belongs.

16. The transmission tower reinforcement system for non-power outage scenarios as described in claim 13, characterized in that, The key parameters corresponding to the instantaneous impact type include peak ground acceleration, conductor breakage tension, and de-icing load; the key parameters corresponding to the random action type include wind speed, ice thickness, and pulsating wind turbulence intensity; and the key parameters corresponding to the long-term cumulative type include steel corrosion rate, bolt loosening rate, and material elastic modulus attenuation rate.

17. The transmission tower reinforcement system for non-power outage scenarios as described in claim 13, characterized in that, The method for calculating the point-level sensitivity coefficient is as follows: First, a dual-coefficient coupled correction model is constructed. Then, the original structure's dynamic load sensitivity coefficient and construction-added load sensitivity coefficient are corrected using the dual-coefficient coupled correction model. Finally, based on the corrected original structure's dynamic load sensitivity coefficient and construction-added load sensitivity coefficient, the point-level sensitivity coefficient is calculated. The dual-coefficient coupled correction model includes an electrified environment-load coupling correction coefficient and a long-term cumulative damage correction coefficient.

18. An electronic device, characterized in that, It includes a memory and a processor, as well as computer instructions stored in the memory and running on the processor, which, when executed by the processor, perform the transmission tower reinforcement method in a non-power outage scenario as described in any one of claims 1-12.

19. A computer-readable storage medium, characterized in that, Used to store computer instructions, which, when executed by a processor, complete the transmission tower reinforcement method under non-power outage scenarios as described in any one of claims 1-12.

20. A computer program product, characterized in that, The method includes a computer program that, when executed by a processor, implements the transmission tower reinforcement method under non-power outage scenarios as described in any one of claims 1-12.

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