基于可视化的风电机组图像识别算法研究

Research on Image Recognition Algorithm of Wind Turbine Based on Visualization

由于大部分风电场选址在偏远地区,传统的巡检、监控方式已经不能满足稳定运行的要求,基于人工智能、可视化研究的无人远程巡检、智能图像识别分析系统得到广泛应用并起到良好效果。重点探讨几种基于可视化的图像识别算法,希望可以对风电运维监控可视化研究人员起到借鉴作用,进而推动风电事业健康长远发展。

With the vigorous development of wind power in China,wind power generation has become an important part of national clean energy.The number of wind turbines and their installed capacity have been rising continuously,and their safe and stable operation has become the key to ensure the stability of power supply.Since most wind farms are located in remote areas,the traditional inspection and monitoring methods can no longer meet the requirements of stable operation,and unmanned remote inspection and intelligent image recognition analysis systems based on artificial intelligence and visualization research are widely used and play a good role.Focus on several visualization-based image recognition algorithms,in the hope that it can play a reference role for wind power operation and maintenance monitoring visualization researchers,and then promote the healthy long-term development of wind power business.