Indoor achieving method for in-situ micro-sitting selection of wind power plant

Abstract

The invention belongs to the technical field of wind power plant micro-sitting selection, and particularly relates to an indoor achieving method for in-situ micro-sitting selection of a wind power plant. The unmanned aerial vehicle aerial photography technology, the geographic information system technology and the image recognition technology based on deep learning are adopted, a true wind power plant scene is subjected to three-dimensional visualizing presentation on a desktop, electric route optimization and road and hoisting platform optimizing results are integrated in wind power generatorarrangement optimization, an original design scheme is placed in an on-site actual scene to be verified, and design optimization in a three-dimensional interaction environment is achieved; the problems that during indoor work, on-site actual topographies and landforms cannot be mastered, and the artificial perception efficiency of sensitive surface features is low are solved, the precision of micro-sitting selection is improved, personnel safety is guaranteed, the manpower and time cost of on-site business trips is reduced, the investment income of owners is greatly increased, and the work period is shortened; the work efficiency is greatly improved, dangerous factors are eliminated from the source, and remarkable technical and economic benefits are achieved.

Description

technical field [0001] The invention belongs to the technical field of wind farm micro site selection, and in particular relates to an indoor implementation method for wind farm site micro site selection. Background technique [0002] The traditional micro-site selection of wind farms requires wind turbine manufacturers, design institutes and owners to send professionals to the site to conduct site surveys of each wind turbine. There are more and more mountainous wind farms with complex terrain, and the southern region has lush trees, steep mountains, and dangerous factors such as snakes and insects. On-site micro-site selection is not only time-consuming and labor-intensive, but also has high efficiency and low cost. Moreover, on-site machine position adjustment can only be carried out locally, and it is impossible to optimize the site selection for the entire wind farm, which affects the power generation efficiency of the wind farm. [0003] For indoor work in micro-site ...

AI Technical Summary

Problems solved by technology

[0006] One of the purposes of the present invention is to provide a method for indoor realization of on-site micro-site selection of wind farms; the second purpose is to solve the problems of inability to grasp the actual topography and landform of the site and the low efficiency of manual identification of sensitive features in indoor work, and improve the micro-site selection. The accuracy ensures the safety of personnel and reduces the manpower and time cost of on-site business trips; the third purpose is to avoid the shortcomings of being unable to understand the overall picture of the wind farm and the inability to accurately calculate on-site when adjusting the position of the wind turbine unit on site, and to optimize the adjustment of the position of the wind turbine unit. Improve the owner's investment income and shorten the working cycle

Images