寒潮期间风力发电机叶片表面容易出现覆冰现象，会导致发电能力降低、设备运行不稳定甚至故障等问题。因此开展风力发电机覆冰预警方法的研究具有重要意义。本文分析SCADA运行数据库，构建基于风速、功率和温度数据的特征量，利用随机森林算法建立覆冰事件发生预警模型；通过旋转圆柱阵列装置实时监测的覆冰厚度，建立覆冰实时预警模型，实现覆冰事件发生预警和实时预警的动态机制。以重庆万宝风电场3.2MW风电机组的覆冰案例，开展覆冰预警试验验证。结果表明，覆冰事件发生预警模型的测试结果分类精确率在95%以上，并在风力发电机叶片出现覆冰情况前1小时内，多次发出覆冰事件预警；实时预警模型在风力发电机覆冰后持续发出预警，模型能够持续跟踪风力发电机覆冰环境的变化趋势；验证了动态预警模型可以为风力发电机的安全运行和有效管理提供决策依据。

Ice-covering phenomenon is easy to appear on the surface of wind turbine blades during the cold wave, which will lead to problems such as reduced power generation capacity, unstable equipment operation and even failure. Therefore, it is of great significance to carry out the research on the early warning method of wind turbine ice-covering. This paper analyzes the SCADA operation database, constructs the feature quantity based on wind speed, power and temperature data, and establishes an early warning model for the occurrence of ice-covering events by using the random forest algorithm; through the real-time monitoring of the thickness of the ice cover by the rotating cylindrical array device, it establishes a real-time early warning model for the occurrence of the ice-covering events and real-time early warning dynamic mechanism. With the case of ice cover of 3.2MW wind turbine in Chongqing Wanbao wind farm, we carry out the test verification of ice cover warning. The results show that the test results of the ice-covering event occurrence warning model have a classification accuracy rate of more than 95%, and the ice-covering event warning is issued several times within 1 hour before the ice-covering situation of the wind turbine blade; the real-time warning model continues to issue warnings after the wind turbine is covered with ice, which shows that the model is able to continue to track the trend of the wind turbine"s ice-covering environment; and it is verified that the dynamic warning model can provide a decision-making basis for the safe operation and effective management of the wind turbine. It is verified that the dynamic warning model can provide a decision-making basis for the safe operation and effective management of wind turbines.