A tree height prediction method, transmission line tree barrier early warning method and system

Abstract

The invention provides a tree height prediction method, a transmission line tree barrier early warning method and system, comprising: acquiring satellite remote sensing stereoscopic image pairs at two moments in the predicted area, and generating digital surface models at two moments respectively; The digital surface model of the moment is revised; Based on the revised digital surface model, the tree growth height in the predicted area is predicted, and the transmission line tree barrier early warning is carried out based on the above-mentioned tree height prediction value. The application of the present invention overcomes the satellite The problem of inaccurate tree height prediction caused by the insensitivity of remote sensing data to tree height has improved the accuracy of tree height prediction from 1.5m‑4m to 0.3m, greatly improving the accuracy of tree growth height prediction, thus achieving overall High-efficiency and accurate prediction of tree heights in complex environments; meanwhile, since the tree barrier early warning in the present invention is realized based on the above tree height prediction method, it also realizes accurate early warning of tree barriers with large-scale and full coverage of transmission lines.

Description

technical field [0001] The invention belongs to the technical field of tree height prediction and transmission line tree barrier monitoring, and in particular relates to a tree height prediction method, a transmission line tree barrier early warning method and a system. Background technique [0002] The safe operation of transmission overhead lines is often seriously threatened by the growth of trees in its corridors, especially some fast-growing trees with high trunks. When the safety distance is insufficient, tree flash failures are prone to tripping, and even cause disconnection. Statistics show that safety accidents caused by super-high trees account for about 46% of all safety accidents. It can be seen that super-high trees are one of the main factors affecting the safe operation of the line. In recent years, with the determination of forest land management rights, local farmers have planted a large number of fast-growing economic trees in open spaces within the range o...

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Problems solved by technology

"Research on the Method of Tree Barriers in Power Transmission Lines Based on Airborne Lidar Intelligent Ranging" and "Automatic Detection Method of Tree Barriers in Transmission Line Corridors Based on Airborne Laser Point Clouds" are mainly based on the development of trees based on UAV lidar technology. Fault monitoring and early warning, the result accuracy is high, but there are three disadvantages: (1) the efficiency is not high, not suitable for large-scale application; (2) in complex mountainous areas such as mountains and steep slopes, it is easy to have point cloud overlapping, etc., the accuracy Unable to guarantee; (3) Due to severe environmental constraints, complex environments such as uninhabited areas cannot use aviation means to obtain data, and it is difficult to achieve full coverage monitoring and early warning of transmission lines

The GF-2 data obtained on June 20, 2015 and July 19, 2016 respectively in the research literature "Forest Height Extraction from GF-2 Off-track Stereo Data" were used as stereo pairs, and the forest height obtained from LiDAR data The lower terrain (DEM) and the forest height (CHM) were used as references to study the forest height extraction using GF-2 stereo observation data, but the direct use of satellite remote sensing data to predict the tree height has a large error, in the range of 2-3 m , the prediction accuracy cannot meet the needs of transmission line tree block monitoring and early warning

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