CN-121998879-A - Multi-view three-dimensional monitoring power transmission line wind deflection galloping alarm method and system

CN121998879ACN 121998879 ACN121998879 ACN 121998879ACN-121998879-A

Abstract

The application provides a method and a system for alarming wind deflection of a power transmission line with multi-view three-dimensional monitoring, and relates to the technical field of power transmission line early warning, wherein the method comprises the steps of acquiring a real-time monitoring image of a target wire and performing distortion error calibration analysis to obtain a calibration image; the method comprises the steps of inputting real-time point cloud data of a calibration image into a registration fusion model to obtain output information comprising a model parameter estimation result, constructing a real-time three-dimensional model, comparing and analyzing the real-time three-dimensional model and a preset three-dimensional model to obtain a target windage coefficient, judging whether the target windage coefficient accords with a preset windage threshold value, and if not, sending an early warning signal to carry out early warning. The method solves the technical problems of inaccurate wind deflection identification and poor early warning reliability caused by insufficient accuracy of point cloud processing and lack of a refined comparison strategy in the prior art, improves the accuracy and reliability of wind deflection monitoring, and ensures safe and stable operation of a power transmission line.

Inventors

LI XINJIAN
SONG WEIYI
FU XIANGYUN
SUN TAO
LIU HONGTAO
WANG FAN
WANG YANG
LI LIANGXI
LI HAIDONG
ZHAO YAO

Assignees

国网江苏省电力有限公司连云港供电分公司

Dates

Publication Date: 20260508
Application Date: 20260105

Claims (10)

1. A multi-view three-dimensional monitoring power transmission line wind deflection galloping alarm method is characterized by comprising the following steps: Dynamically monitoring by a multi-mesh monitoring device to obtain a real-time monitoring image of a target wire, wherein the real-time monitoring image comprises a first image monitored by a first mesh, and the first mesh refers to any mesh in the multi-mesh monitoring device; introducing a multi-eye measurement distortion error calibration function to perform distortion error calibration analysis on the first image to obtain a first calibration image, and constructing a real-time calibration image set of the multi-eye monitoring equipment; taking the real-time point cloud data set of the real-time calibration image set as input information of a registration fusion model, and obtaining output information through the registration fusion model, wherein the output information comprises a model parameter estimation result; constructing a real-time three-dimensional model of the target conductor according to the model parameter estimation result; comparing and analyzing the real-time three-dimensional model with a preset three-dimensional model of the target wire to obtain a target windage coefficient; Acquiring a preset windage yaw threshold value, and judging whether the target windage yaw coefficient accords with the preset windage yaw threshold value; And if the target windage yaw coefficient does not accord with the preset windage yaw threshold value, sending out an early warning signal to perform windage yaw swing early warning on the target wire.
2. The method for alarming wind yaw of a power transmission line with multi-objective three-dimensional monitoring according to claim 1, wherein introducing a multi-objective measuring distortion error calibration function to perform distortion error calibration analysis on the first image to obtain a first calibration image, and constructing a real-time calibration image set of the multi-objective monitoring device comprises: Constructing a distortion factor set, and carrying out distortion analysis on the distortion factor set to obtain a distortion factor coefficient set; and carrying out distortion error calibration analysis on the first image according to the multi-vision distortion error calibration function and combining the distortion factor coefficient set to obtain the first calibration image, wherein the expression of the multi-vision distortion error calibration function is as follows: ; Wherein, the Refers to the first image With the first calibration image The multi-vision distortion error calibration function in between, Refers to the i-th distortion factor coefficient in the set of distortion factor coefficients, and the set of distortion factors includes n distortion factor coefficients.
3. The method for alarming wind deflection of a power transmission line with multi-view three-dimensional monitoring according to claim 2, wherein the steps of constructing a distortion factor set, and performing distortion analysis on the distortion factor set to obtain a distortion factor coefficient set comprise: constructing a line factor set; constructing a set of equipment factors; constructing an environment factor set; Forming the distortion factor set according to the line factor set, the equipment factor set and the environment factor set; the line factor set comprises a reflection characteristic coefficient and a motion blur coefficient, the equipment factor set comprises a lens coefficient, a sensor noise coefficient and an equipment aging coefficient, and the environment factor set comprises an illumination intensity coefficient, an illumination non-uniformity coefficient, a temperature coefficient and an atmosphere disturbance coefficient.
4. The method for alarming wind deflection of a power transmission line with multi-view three-dimensional monitoring according to claim 1, wherein the step of constructing a real-time three-dimensional model of the target conductor according to the model parameter estimation result comprises the following steps: The registration fusion model randomly samples the real-time point cloud data set to obtain a first sample set, and obtains a first parameter estimation result of a first model based on the first sample set; Removing the first sample set from the real-time point cloud data set to obtain a first non-sample set, wherein the first non-sample set comprises a plurality of non-sample point cloud data; sequentially calculating the distances from the plurality of non-sample point cloud data to the first model, and screening the plurality of non-sample point cloud data by combining a preset distance threshold value to obtain a first inner point set; Calculating a first data volume of the first inner point set, and judging whether the first data volume meets a preset quantity threshold; And if the first data quantity meets the preset quantity threshold, the first model corresponding to the first parameter estimation result is recorded as the real-time three-dimensional model.
5. The method for alarming wind yaw of a power transmission line with multi-view three-dimensional monitoring according to claim 4, wherein calculating a first data amount of the first inner point set and judging whether the first data amount meets a preset number threshold value, further comprises: If the first data volume does not meet the preset quantity threshold value, a first repeated acquisition instruction is obtained; And according to the first complex sampling instruction, the registration fusion model performs random sampling iteration from the real-time point cloud data set.
6. The method for alarming wind deflection of a power transmission line with multi-view three-dimensional monitoring according to claim 1, wherein comparing and analyzing the real-time three-dimensional model with a predetermined three-dimensional model of the target conductor to obtain a target wind deflection coefficient comprises: Sequentially acquiring a real-time model sample point set of the real-time three-dimensional model and a preset model sample point set of the preset three-dimensional model based on a uniform sampling principle; respectively obtaining a real-time curve and a preset curve of the target wire based on the real-time model sample point set and the preset model sample point set; acquiring a preset sampling frequency, sequentially sampling the real-time curve based on the preset sampling frequency to obtain a real-time sample point set, and sampling the preset curve to obtain a preset sample point set; introducing a curve distance research and judgment strategy to conduct point-to-point distance research and judgment on the real-time sample point set and the preset sample point set to obtain a real-time target distance; and taking the real-time target distance as the target windage coefficient.
7. The method for alarming wind deflection of a power transmission line with multi-objective three-dimensional monitoring according to claim 6, wherein introducing a curve distance research and judgment strategy to conduct point-to-point distance research and judgment on the real-time sample point set and the preset sample point set to obtain a real-time target distance comprises the following steps: Acquiring a predetermined distance grid; Acquiring an arbitrary point pair, wherein the arbitrary point pair comprises a first real-time sampling point in the real-time sampling point set and a first preset sampling point in the preset sampling point set; Filling the first space distance between the first real-time sample point and the first preset sample point to the preset distance grid according to an initial filling scheme in the curve distance research and judgment strategy to obtain an initial filling grid; Extracting a progressive filling scheme in the curve distance research and judgment strategy; Performing advanced filling on the initial filling grid according to the advanced filling scheme to obtain a target filling grid; and taking the filling value of a preset grid in the target filling grid as the real-time target distance.
8. The method for alarming wind deflection of a power transmission line with multi-objective three-dimensional monitoring according to claim 7, wherein the step-by-step filling of the initial filling grid according to the step-by-step filling scheme to obtain a target filling grid comprises the following steps: Partitioning the initial filling grid according to the advanced filling scheme to obtain a partitioning result; Acquiring an advanced block in the partitioning result, and extracting any grid in the advanced block, wherein the any grid corresponds to any initial filling value; constructing an arbitrary reference grid set of the arbitrary grid, and screening the arbitrary reference grid set to obtain an arbitrary maximum grid filling value; replacing the arbitrary initial filling value with the sum of the arbitrary maximum grid filling value and the arbitrary initial filling value to serve as an arbitrary advanced filling value of the arbitrary grid; and forming the target filling grid based on the arbitrary advanced filling value.
9. The method for alarming wind yaw of a power transmission line for three-dimensional monitoring according to claim 8, wherein the arbitrary reference grid set comprises a left adjacent grid, an upper adjacent grid and a left upper adjacent grid of the arbitrary grid.
10. A multi-view three-dimensional monitored wind-deflection warning system for a power transmission line, the system being configured to perform a multi-view three-dimensional monitored wind-deflection warning method for a power transmission line according to any one of claims 1 to 9, comprising: The image monitoring module is used for dynamically monitoring and obtaining a real-time monitoring image of the target wire through the multi-mesh monitoring equipment, wherein the real-time monitoring image comprises a first image monitored by a first mesh, and the first mesh refers to any mesh in the multi-mesh monitoring equipment; the image calibration module is used for introducing a multi-eye measurement distortion error calibration function to perform distortion error calibration analysis on the first image to obtain a first calibration image, and constructing a real-time calibration image set of the multi-eye monitoring equipment; The registration fusion module is used for taking the real-time point cloud data set of the real-time calibration image set as input information of a registration fusion model and obtaining output information through the registration fusion model, wherein the output information comprises a model parameter estimation result; the three-dimensional model construction module is used for constructing a real-time three-dimensional model of the target conductor according to the model parameter estimation result; The comparison analysis module is used for carrying out comparison analysis on the real-time three-dimensional model and the preset three-dimensional model of the target wire to obtain a target windage coefficient; the judging module is used for acquiring a preset windage yaw threshold value and judging whether the target windage yaw coefficient accords with the preset windage yaw threshold value or not; And the early warning module is used for sending out an early warning signal to perform early warning on the windage yaw of the target wire if the target windage yaw coefficient does not accord with the preset windage yaw threshold value.

Description

Multi-view three-dimensional monitoring power transmission line wind deflection galloping alarm method and system Technical Field The application relates to the technical field of early warning of power transmission lines, in particular to a method and a system for warning wind deflection and galloping of a power transmission line through multi-view three-dimensional monitoring. Background Wind deflection of the transmission line refers to periodic vibration or deflection phenomenon of the transmission line under the action of wind force, which may cause excessive vibration, line contact, abrasion or fracture of the transmission line, and seriously threaten the safe and stable operation of the power system. Therefore, monitoring and early warning of wind yaw of the transmission line becomes an important technical requirement of the power industry. The traditional method is mainly used for monitoring wind deflection in a sensor layout mode, but the traditional method is complex in installation, high in cost and limited in monitoring precision and timeliness because the traditional method cannot cover a circuit comprehensively. In order to overcome the defects, in recent years, a multi-mesh three-dimensional monitoring technology is applied to wind deflection galloping alarm of a power transmission line, line image data are acquired by using multi-mesh monitoring equipment, and a three-dimensional model is generated for wind deflection analysis. However, the existing method has obvious defects in point cloud data comparison. On one hand, the traditional point cloud data fusion multi-reliance simple image registration method is difficult to effectively process error accumulation of multi-mesh data, and the accuracy of the three-dimensional model is reduced. On the other hand, the existing comparison strategies are limited to overall model matching, lack of detailed analysis on local areas, and cannot accurately capture the tiny wind deflection change of the power transmission line, and particularly when the wind deflection amplitude is smaller, the problems of missing report and false report are more remarkable. In addition, the triggering of the early warning signal can be delayed, and the rapid response of wind deflection galloping is affected. Disclosure of Invention The application provides a multi-view three-dimensional monitoring power transmission line wind deflection galloping alarm method and system, which solve the technical problems of inaccurate power transmission line wind deflection galloping identification and poor early warning reliability caused by insufficient point cloud processing precision and lack of a fine comparison strategy in the prior art, and achieve the technical effects of improving the accuracy and reliability of the line wind deflection galloping monitoring and guaranteeing the safe and stable operation of a power transmission line. In view of the above problems, in one aspect, the application provides a method for alarming wind deflection of a power transmission line with multi-objective three-dimensional monitoring, which comprises dynamically monitoring by multi-objective monitoring equipment to obtain a real-time monitoring image of a target wire, wherein the real-time monitoring image comprises a first image monitored by a first objective, the first objective refers to any objective in the multi-objective monitoring equipment, a distortion error calibration function is introduced to conduct distortion error calibration analysis on the first image to obtain a first calibration image, a real-time calibration image set of the multi-objective monitoring equipment is built, a real-time point cloud data set of the real-time calibration image set is used as input information of a registration fusion model, and output information is obtained through the registration fusion model, wherein the output information comprises a model parameter estimation result, a real-time three-dimensional model of the target wire is built according to the model parameter estimation result, a comparison analysis is conducted on the real-time three-dimensional model of the real-time three-time model and a preset three-dimensional model of the target wire to obtain a target wind deflection coefficient, a preset wind deflection threshold is obtained, whether the target wind deflection coefficient accords with the preset wind deflection coefficient or not accords with the preset wind deflection coefficient, if the target wind deflection coefficient accords with the preset wind deflection coefficient, and a pre-warning signal is sent out if the target deflection coefficient does not accord with the preset wind deflection coefficient. On the other hand, the application further provides a multi-view three-dimensional monitoring power transmission line wind deflection warning system, which comprises an image monitoring module, a registration fusion module, a three-dimensional model construction module, a compa