CN-121977634-A - Transmission tower monitoring and early warning system and method

CN121977634ACN 121977634 ACN121977634 ACN 121977634ACN-121977634-A

Abstract

The invention discloses a transmission tower monitoring and early warning system and method, wherein the system comprises an information monitoring module for monitoring wind load, translational displacement and inclination angle of a transmission tower, a system safety state evaluation module mounted on an edge end, a finite element analysis model for processing the wind load of the transmission tower to obtain the displacement of each degree of the transmission tower, a deep neural network model for processing wind speed time course data to obtain the dynamic displacement of the transmission tower top, and data fusion, and a system early warning module mounted on the edge end for evaluating the structural state of the transmission tower in real time to obtain the safety state evaluation result of the transmission tower. Aiming at the damage of the transmission tower structure possibly caused by wind load, the invention evaluates the state of the transmission tower structure in real time by monitoring the sensor data, realizes the monitoring and early warning of the state of the transmission tower, realizes the real-time inquiry of the using and operating state of the transmission tower structure, and carries out safety early warning on gradual change damage.

Inventors

HAO HOUTANG
WANG YUNHAN
CAI DELONG
WEN HAIWEN
Zheng Shiduo
LI YANXIN
LI HUI
HE MINGCHUN
YU XIAOMING
Yuan Laiyu
LI HUACAN
CHEN YIFENG
DENG WEISONG

Assignees

国电南瑞科技股份有限公司

Dates

Publication Date: 20260505
Application Date: 20251219

Claims (12)

1. A transmission tower monitoring and early warning system, comprising: The information monitoring module is used for monitoring wind load, translational displacement and inclination angle of the transmission tower; the system safety state evaluation module is used for storing a pre-trained deep neural network model and a finite element analysis model, processing wind load of the transmission tower based on the finite element analysis model to obtain displacement of each degree of freedom of the transmission tower, processing wind speed time course data based on the deep neural network model to obtain dynamic displacement of the transmission tower top, and fusing the displacement of each degree of freedom of the transmission tower and the dynamic displacement of the transmission tower top to obtain final displacement of the transmission tower; the system early warning module is used for carrying out real-time evaluation on the structural state of the transmission tower to obtain the evaluation result of the safety state of the transmission tower, wherein the structural state comprises deflection and inclination angle.
2. The transmission tower monitoring and warning system of claim 1, further comprising: And the visualization module is used for carrying out visualization and data output on the transmission tower safety state evaluation result output by the system early warning module.
3. The transmission tower monitoring and early warning system according to claim 1, wherein the information monitoring module comprises an anemometer, a GNSS displacement acquisition system and an inclinometer; The anemoclinograph is arranged at the top of the transmission tower and is used for monitoring wind load of the transmission tower; The GNSS displacement acquisition systems are arranged on two sides of the top of the transmission tower and are used for monitoring the translational displacement of the transmission tower; The inclinometer is arranged at the top of the transmission tower and is used for monitoring the inclination angle of the transmission tower.
4. The transmission tower monitoring and early warning system according to claim 1, wherein the finite element analysis model processes wind load of the transmission tower to obtain displacement of each degree of freedom of the transmission tower, and the data processing process is as follows: reading transmission tower data, generating an entity, and writing boundary conditions; Calculating and integrating a unit stiffness matrix of each tower member to obtain a structure total stiffness matrix, wherein the unit stiffness matrix is expressed as: , Wherein, the In the form of a matrix of cell stiffness, In order to be the modulus of elasticity of the material, Is the sectional area of the tower member, In order to achieve a material shear modulus, Is the section torsional coefficient of the tower member, As the moment of inertia of the cross-section of the tower member, Is the length of the tower member; based on the structural total stiffness matrix and wind load, the displacement of each degree of freedom of the transmission tower is calculated according to the following formula: , , Wherein, the In order to provide a matrix of the total stiffness of the structure, In the event of a wind load, For the displacement of the transmission towers, 、、 Unit for tower elements The translational displacement of the node is calculated, 、、 Unit for tower elements The amount of rotational displacement of the node, 、、 Unit for tower elements The translational displacement of the node is calculated, 、、 Unit for tower elements The rotational displacement of the node.
5. The transmission tower monitoring and early warning system according to claim 1, wherein the deep neural network model is a regression analysis fully connected neural network.
6. The transmission tower monitoring and early warning system according to claim 1, wherein the deep neural network model is obtained through training of a training set, and the training set adopts a plurality of groups of wind speed time course data obtained through historical monitoring, namely transmission tower top dynamic displacement data.
7. The transmission tower monitoring and early warning system according to claim 1, wherein the system safety state evaluation module fuses the displacement of the degree of freedom of each transmission tower and the dynamic displacement of the top of the transmission tower, in particular, adopts a dynamic confidence weighted average fusion mode.
8. The transmission tower monitoring and early warning system according to claim 1, wherein the system early warning module calculates deflection according to the type of the transmission tower as follows: ; Wherein, the Is of the type of Is characterized in that the deflection of the tower, 、 As the coefficient of the light-emitting diode, For the height from the top surface of the longest leg foundation of the tower to the calculated point, Representing the type of a transmission tower, including a self-standing suspension tangent tower, a self-standing suspension corner tower, a self-standing tension tower, a suspension straight steel pipe pole, a suspension corner steel pipe pole and a Zhang Xinggang pipe pole; overhead deflection of a catenary linear tower The calculation is as follows: ; 、 Is a coefficient; Deflection of tower body below suspension straight line pull line tower pull line point The calculation is as follows: ; 、 as the coefficient of the light-emitting diode, The height from the tower wire-drawing point to the ground.
9. The transmission tower monitoring and early warning system according to claim 8, wherein the system early warning module evaluates the inclination angle of the transmission tower in real time, and comprises: When the inclination range is 0,1.5 per mill, the safety state evaluation result of the transmission tower is good; When the inclination range is (1.5,3 per mill), the safety state evaluation result of the transmission tower is middle; when the inclination range is more than 3 per mill, the transmission tower safety state evaluation result is poor.
10. The transmission tower monitoring and early warning system according to claim 9, wherein the system early warning module is further configured to determine whether the transmission tower structure is normal or healthy according to the relationship between the result data and the corresponding technical index when the real-time evaluation result data exceeds the threshold value of the normal primary health technical index, and send different health early warning signals, and if the transmission tower structure cannot be determined to be normal or healthy, comprehensively evaluate the transmission tower structure by means of the health evaluation system.
11. The transmission tower monitoring and early warning system according to claim 10, wherein the monitoring and early warning system further performs visual and data output of structural state evaluation and early warning results.
12. A transmission tower monitoring and early warning method, characterized in that the method is realized based on the transmission tower monitoring and early warning system according to any one of claims 1 to 11, and comprises the following steps: Acquiring a special ID number of a transmission tower, extracting the position, the topography, the wire span and the design tower type information of the transmission tower from a database based on the ID number, and constructing a finite element model of the transmission tower structure; acquiring a wind speed time-course curve of a certain wind direction of a transmission tower, and calculating wind load based on the wind speed time-course curve; Inputting the wind load into the finite element model of the transmission tower structure to obtain the displacement of each degree of freedom of the transmission tower; inputting wind speed time course data into a pre-trained deep neural network model to obtain the dynamic displacement of the top of the transmission pole; Fusing the displacement data output by the finite element model of the transmission tower structure and the displacement data output by the deep neural network model by adopting a dynamic confidence weighting average fusion mode to obtain the final displacement of the transmission tower; And comparing the final displacement of the transmission tower with a normal first-level health technical index threshold value to obtain a transmission tower safety state evaluation result.

Description

Transmission tower monitoring and early warning system and method Technical Field The invention relates to the technical field of power transmission engineering monitoring, in particular to a power transmission tower monitoring and early warning system and method. Background The transmission tower is an important component of the transmission line and plays a role of a hub. The safety of the transmission tower needs to be ensured during the safe operation of the power grid. The working environment of the transmission tower is mostly an exposed complex outdoor environment, and can be influenced by various natural environment factors such as wind, rain, snow and the like. The transmission tower line system structure is a long-span high-flexibility structure, wind load acts frequently, and disasters caused by wind power are more. More serious damage may lead to damage or collapse of the transmission tower, resulting in unavoidable economic losses. The working environment of the transmission tower is mostly an exposed complex outdoor environment, and can be influenced by various natural environment factors such as wind, rain, snow and the like. The transmission tower line system structure is a long-span high-flexibility structure, wind load acts frequently, and disasters caused by wind power are more. More serious damage may lead to damage or collapse of the transmission tower, resulting in unavoidable economic losses. Therefore, research on real-time damage detection and identification of the transmission tower under the action of wind load and safety of an evaluation structure are carried out, so that a transmission tower inclination monitoring and early warning system considering the action of wind load is formed, and the method has great practical significance for guaranteeing stable operation of the transmission tower. The existing transmission tower monitoring technology still has a plurality of problems. The existing structural health monitoring and early warning system has strong functions, but is complex, and is suitable for single critical structural bodies such as high-rise buildings, bridges and the like. However, if the existing complex monitoring system scheme is adopted for a single power transmission tower, the cost is high, the calculated amount is too large, and the whole working state of the whole section of the power transmission line is difficult to obtain. The computational complexity is reduced, and the edge computing requirement is met. In general, the current power transmission line monitoring has four main problems that (1) the system is complex and the whole system is difficult to analyze and evaluate through a single tool, (2) most health monitoring systems adopt huge and complex hardware systems, have high cost and complex deployment, (3) certain errors still exist in the existing theory and software tools for the structural analysis of the complex power transmission line system, and (4) the management department provides high-frequency state inspection to require the monitoring system to rapidly complete global evaluation and respond. Disclosure of Invention The invention aims to provide a transmission tower monitoring and early warning system and method, which are used for real-time evaluation of the structural state of a transmission tower through monitoring sensor data, so as to realize the monitoring and early warning of the state of the transmission tower and finally give out a visual evaluation result. In order to achieve the purpose, the invention adopts the following technical scheme: the invention provides a transmission tower monitoring and early warning system, which comprises: The information monitoring module is used for monitoring wind load, translational displacement and inclination angle of the transmission tower; the system safety state evaluation module is used for storing a pre-trained deep neural network model and a finite element analysis model, processing wind load of the transmission tower based on the finite element analysis model to obtain displacement of each degree of freedom of the transmission tower, processing wind speed time course data based on the deep neural network model to obtain dynamic displacement of the transmission tower top, and fusing the displacement of each degree of freedom of the transmission tower and the dynamic displacement of the transmission tower top to obtain final displacement of the transmission tower; the system early warning module is used for carrying out real-time evaluation on the structural state of the transmission tower to obtain the evaluation result of the safety state of the transmission tower, wherein the structural state comprises deflection and inclination angle. Preferably, the system further comprises: And the visualization module is used for carrying out visualization and data output on the transmission tower safety state evaluation result output by the system early warning module. Preferably, the information