Aiming at the stock transmission line engineering, a reverse modeling method of transmission line GIM model based on laser point cloud is proposed in this paper. First of all, the laser point cloud data of the line channel are collected and classified; then, the point cloud data are imported into the modeling tool to extract the general outline of the transmission line and tower, and build a preliminary model; then, based on the UAV inspection pictures, the insulation substring and hardware are extracted to further refine the transmission tower GIM model. Through the verification of model accuracy, the results show that this research method can make full use of the high precision and rich information of laser point cloud data to quickly construct the three-dimensional model of transmission lines, so as to improve the modeling efficiency and accuracy.
In order to accurately monitor the force deflection of insulator strings in transmission lines, an on-line monitoring device based on real-time running position is introduced in this paper. The device can obtain the spatial coordinate information of the wire in real time, and accurately fit the running state of the wire by using the orthogonal polynomial fitting technique. In addition, the device can also sense the wind deviation and sag of the wire in the running state, which provides a strong guarantee for the safe operation of the transmission line. At the same time, this paper also uses the GIM model of transmission lines to fit the three-dimensional state of transmission lines, which provides a research basis for follow-up icing monitoring, load calculation and tower stability evaluation. This method not only improves the accuracy and efficiency of transmission line monitoring, but also helps to ensure the stable operation of power system.
In view of the low efficiency and high cost of the current line patrol method, as well as the cumbersome technology and weak operability of the helicopter power patrol inspection, this paper describes the UAV system in detail. At the same time, combined with the application of UAV in the line operation and maintenance management, it introduces the process of UAV patrol inspection in detail, and focuses on the path planning, line fault detection and line evaluation and prediction in the transmission line patrol inspection. It is concluded that UAV inspection can effectively improve the efficiency of inspection and maintenance of transmission lines, and promote the process of intelligent operation and maintenance of transmission lines.
Airborne laser technology is widely used in transmission line operation and maintenance line construction acceptance and tree barrier analysis, and transmission line point cloud extraction is the basic work of these applications. A wire point cloud extraction algorithm is proposed in this paper. The first step is to segment the original point cloud data of a sortie by file; the second step is to roughly classify the single point cloud data; the third step is to refine the wire point cloud to obtain the target wire point cloud. Experiments verify that the accuracy of the algorithm is 90.2%, which verifies the accuracy and applicability of this algorithm.
In order to improve the problems existing in the traditional manual acceptance of transmission lines in mountainous areas, such as heavy workload, high investment, low security and high difficulty of work, this paper starts with the application of laser LiDAR technology in the capital construction acceptance of overhead transmission lines, and studies the formation of a set of integrated solutions suitable for mountainous landforms, from laser LiDAR data preprocessing, automatic classification of point cloud data to the application of transmission line infrastructure acceptance. To realize the high efficiency, accuracy, safety and low cost of the infrastructure acceptance of overhead transmission lines, so as to improve the stability of the power grid.
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