CN-122021187-A - Angle steel time-varying corrosion bearing capacity assessment method and system for realizing intelligent power grid

Abstract

The invention provides a method and a system for evaluating time-varying corrosion bearing capacity of angle steel of an intelligent power grid, and relates to the technical field of digital operation and maintenance of power transmission lines. The method comprises the steps of obtaining basic parameters and internal force of an angle steel component of an iron tower, calculating the thickness and the sectional area of the damaged section of the angle steel component at the moment according to an angle steel corrosion damage criterion and combining the initial size, the atmospheric pollution level and the corrosion age, calculating and obtaining the bearing capacity of the angle steel component under the time-varying corrosion damage state based on the sectional area after damage and the eccentric corrosion influence coefficient when single limbs are connected, determining the stress ratio according to the internal force and the bearing capacity, and carrying out visual evaluation on the corrosion damage state of the iron tower according to the stress ratio. The method breaks through the limitation of traditional static damage iterative computation, establishes time-varying corrosion damage relation between time and angle steel section, thereby realizing high-efficiency and accurate assessment of bearing capacity and remarkably improving the safety coefficient and reliability of power grid operation.

Inventors

• HUANG XING
• JIANG YAXIN
• GONG TAO
• LIU CHAO
• LIU JINTONG
• LIAO XINGJUN
• LI LIN
• LI ZHONG
• ZHANG YANGBIN
• LUO HAILI
• WANG BO
• HE SONGYANG
• ZHANG LIRU
• DONG BIXIA
• HE JIANGHUA
• MA HAIYUN
• TUO XIAOYI
• Zhang Rubao
• ZHENG YONG
• HAN DAGANG
• PU FAN
• LIU XIANGYUN

Assignees

• 中国电力工程顾问集团西南电力设计院有限公司

Dates

Publication Date

20260512

Application Date

20260407

Claims (10)

1. 1. The angle steel time-varying corrosion bearing capacity evaluation method for realizing the intelligent power grid is characterized by comprising the following steps of: Basic parameters of an angle steel component of the iron tower are obtained, and the internal force of the angle steel component is obtained; according to the corrosion damage criterion of the angle steel, combining the initial size parameter, the corrosion environment parameter and the given corrosion period of the angle steel member, and calculating and obtaining the thickness of the damaged section and the sectional area of the angle steel member under the corrosion period; According to the angle steel time-varying corrosion bearing capacity calculation criterion, calculating and obtaining the axle center stress bearing capacity of the angle steel component in a time-varying corrosion damage state based on the damaged sectional area and in combination with an eccentric corrosion influence coefficient determined according to the damaged sectional area thickness; and determining a stress ratio according to the internal force of the angle steel member and the bearing capacity of the axle center stress in the time-varying corrosion damage state, and evaluating the corrosion damage state of the iron tower according to the stress ratio.
2. 2. The method for evaluating the angle steel time-varying corrosion bearing capacity of the smart grid according to claim 1, wherein the basic parameters comprise the specification, the node bolts, the load information, the reproduction period and the sub-term coefficients of each rod piece of the iron tower; the step of obtaining the internal force of the angle steel member comprises the steps of reading the basic parameters, and obtaining the internal force of the angle steel member by combining finite element theory calculation according to a rod piece rigidity matrix.
3. 3. The method for estimating the time-varying corrosion bearing capacity of the angle steel for realizing the smart grid according to claim 1, wherein the method for calculating the thickness of the section of the angle steel member after the damage under the corrosion period comprises the following steps: Wherein, the Representing the thickness of the steel body layer of the component; Representing the thickness of the galvanized layer on the surface of the component; Indicating the corrosion age; representing the thickness of the cross section of the member after damage; representing the corrosion speed of the steel body layer in the current corrosion environment; indicating the corrosion rate of the zinc layer in the current corrosion environment.
4. 4. The method for evaluating the time-varying corrosion bearing capacity of angle steel for realizing an intelligent power grid according to claim 3, wherein the corrosion rates of the steel body layer and the zinc layer are determined based on the atmospheric pollution level of the environment in which the angle steel member is located, and are expressed as: Wherein e represents a natural constant, C represents a corrosion constant, the value of which is related to the atmospheric pollution level of the environment where the angle steel member is positioned, and the higher the atmospheric pollution level is, the larger the value of the corrosion constant is.
5. 5. The method for evaluating the time-varying corrosion bearing capacity of angle steel for realizing intelligent power grid according to claim 3, wherein the method for calculating the sectional area of the damaged angle steel member comprises the following steps: Wherein, the The sectional area of the angle steel member after damage is shown; The section width of the angle steel member is shown.
6. 6. The method for evaluating the angle steel time-varying corrosion bearing capacity of the smart power grid according to claim 3, wherein the method for calculating the eccentric corrosion influence coefficient comprises the following steps: Wherein, the Representing the thickness of the steel body layer of the component; representing the thickness of the cross section of the member after damage; the eccentricity corrosion influence coefficient of the angle steel member is shown.
7. 7. The method for evaluating the time-varying corrosion bearing capacity of the angle steel for realizing the intelligent power grid according to claim 6, wherein the method for calculating the axial stress bearing capacity of the angle steel component in the time-varying corrosion damage state comprises the following steps: Wherein, the The bearing capacity of the axle center stress of the angle steel component in the time-varying corrosion damage state is shown; The sectional area of the angle steel member after damage is shown; representing the yield strength of the steel; representing the coefficient of resistance components.
8. 8. The method for evaluating the angle steel time-varying corrosion bearing capacity of the smart grid according to claim 1, wherein the stress ratio calculating method comprises the following steps: Wherein, the N represents the internal force of the angle steel component; The axial stress bearing capacity of the angle steel component in a time-varying corrosion damage state is shown.
9. 9. The method for evaluating the angle steel time-varying corrosion bearing capacity of the smart power grid according to claim 1, wherein the evaluating the corrosion damage state of the iron tower according to the stress ratio comprises the following steps: If stress ratio The value is in the range of 0-0.6, which means that the bearing capacity of the iron tower after corrosion damage is very sufficient at the moment, and the iron tower is protected according to normal operation and maintenance; If stress ratio The value is in the range of 0.6-0.95, which means that the bearing capacity of the iron tower after corrosion damage is sufficient at the moment, and the iron tower is protected according to normal operation and maintenance; If stress ratio The value is in the interval of 0.95-0.99, which means that the bearing capacity of the iron tower after corrosion damage is close to the design limit at the moment, and the operation and maintenance times are required to be enhanced on the basis of normal protection; If stress ratio The value is greater than or equal to 1.0, which indicates that the bearing capacity of the iron tower after corrosion damage does not meet the design requirement at the moment, and important repair and reinforcement are needed.
10. 10. Realize angle steel time-varying corrosion bearing capacity evaluation system of wisdom electric wire netting, its characterized in that includes: the database module is used for importing and storing basic parameters of the angle steel component of the iron tower; The internal force finite element calculating component is used for reading the basic parameters and calculating the internal force of the angle steel member; An angle steel time-varying corrosion bearing capacity assessment center for performing the assessment method according to any one of claims 1 to 9 to obtain a stress ratio assessment result; And the output terminal is used for outputting and displaying the evaluation result through a GUI window and generating an angle steel time-varying corrosion bearing capacity evaluation report.

Description

Angle steel time-varying corrosion bearing capacity assessment method and system for realizing intelligent power grid Technical Field The invention relates to the technical field of digital operation and maintenance of power transmission lines, in particular to an angle steel time-varying corrosion bearing capacity assessment method and system for realizing an intelligent power grid. Background In large and complex grid infrastructure, the safety of the pylon structure and the reliability of operation are directly related to the stable power supply of the whole grid system. At present, the transmission tower is mostly formed by splicing and assembling angle steel members. However, these in-service transmission towers are exposed to complex and variable field natural environments for a long period of time and inevitably subject to continuous erosion of sun and rain, alternating temperature and humidity and different levels of atmospheric pollution. This long exposure results in progressive wear-out failure of the original corrosion-resistant galvanization layer on the angle steel member surface, thereby causing continued corrosion of the inner steel body layer. The corrosion phenomenon not only can directly weaken the effective section thickness and the sectional area of the angle steel member and cause adverse mechanical effects such as eccentric stress, but also can greatly reduce the overall compression resistance, tensile resistance and bending resistance bearing capacity of the member, and is extremely easy to induce serious power grid accidents such as iron tower deformation and even collapse under extreme weather or heavy load working conditions. In order to accelerate the digital transformation of a propulsion transmission line, accurate and efficient corrosion bearing capacity assessment on in-service transmission tower angle steel members becomes a rigid requirement for operation and maintenance of a power grid. However, in the current industry, the corrosion bearing capacity evaluation of angle steel members is generally dependent on a complicated static damage iterative calculation mode. This conventional approach exposes significant limitations in both theoretical models and practical applications. First, this method is not only inefficient, but also extremely complex to define static limiting corrosion damage. Because of failing to establish an explicit dynamic evolution relationship between the damage and the time, the evaluator often needs to go through a long analysis period and a huge number of numerical calculation methods to approach a more accurate evaluation result. The static deduction which is severely dependent on manual experience and takes time and labor is difficult to adapt to the efficiency requirement of modern intelligent power grids on real-time and dynamic calculation of mass iron tower nodes. Even more troublesome, such static iterative computation methods encounter heavy challenges in practical engineering deployments. Because the model is difficult to adapt to dynamic changes of various environmental factors, the system integration level is poor, and the engineering guiding significance of the evaluation result is greatly reduced. The technical bottlenecks which are difficult to overcome greatly restrict the digital process of corrosion damage assessment of the transmission line iron tower, and simultaneously seriously obstruct the effective prediction of the bearing life of the angle steel. The failure to accurately pre-judge the time-varying attenuation law of the bearing capacity of the angle steel member along with the increase of service life means that the operation and maintenance department is difficult to formulate scientific and reasonable preventive maintenance and accurate reinforcement strategies, so that the blind operation and maintenance cost of the power grid is increased, and potential structural potential safety hazards are buried. Therefore, how to abandon the backward static computing thinking, introduce time dimension and environmental parameter, set up a set of time-varying bearing capacity assessment mechanism that can intuitively and efficiently reflect the corrosion damage evolution law, and become an important topic to be overcome by engineering technicians in the field. Disclosure of Invention The present invention aims to solve at least one of the above technical problems in the prior art. Therefore, the first aspect of the invention provides a method for evaluating the time-varying corrosion bearing capacity of angle steel for a smart power grid. The second aspect of the invention provides an angle steel time-varying corrosion bearing capacity evaluation system for realizing a smart power grid. The invention provides a method for evaluating the time-varying corrosion bearing capacity of angle steel of an intelligent power grid, which comprises the following steps: Basic parameters of an angle steel component of the iron tower are obtained, an