本发明提供了一种基于气象观测的低空飞行器结冰预警方法及系统,该方法通过获取低空飞行器同一时期的历史气象数据、历史飞行数据、飞行器自身数据以及积冰情况;根据积冰部件的划分,分别建立对应的神经网络模型,并分别进行训练,得到对应的目标神经网络模型;实时获取低空飞行器采集各项数据,分别输入至对应的目标神经网络模型中,输出对应的积冰厚度和积冰类型;根据目标神经网络模型的输出结果,判断预设积冰部件是否达到预警标准;若是,则进行第一预警;若否,则根据各积冰部件的积冰厚度和积冰类型,进行加权处理,得到评价值;判断评价值是否大于阈值;若是,则进行第二预警,具体的,通过评估飞行器的结冰情况,可以有效降低飞行风险。
The invention provides a low-altitude aircraft icing early warning method and system based on meteorological observation. The method comprises the following steps: acquiring historical meteorological data, historical flight data, aircraft data and icing conditions of a low-altitude aircraft in the same period; respectively establishing corresponding neural network models according to the division of the ice accretion components, and respectively training to obtain corresponding target neural network models; acquiring various data acquired by the low-altitude aircraft in real time, respectively inputting the data into the corresponding target neural network models, and outputting corresponding icing thickness and icing type; according to an output result of the target neural network model, judging whether the preset icing component reaches an early warning standard or not; if yes, first early warning is carried out; if not, weighting processing is carried out according to the icing thickness and the icing type of each icing component, and an evaluation value is obtained; judging whether the evaluation value is greater than a threshold; and if yes, second early warning is carried out, specifically, the flight risk can be effectively reduced by evaluating the icing condition of the aircraft.
一种基于气象观测的低空飞行器结冰预警方法及系统
27.06.2025
Patent
Elektronische Ressource
Chinesisch
IPC: | G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / G08B SIGNALLING OR CALLING SYSTEMS , Signalisier- oder Rufsysteme / G01W METEOROLOGY , Meteorologie / G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |