Strong-wind high-speed railway along-the-line wind speed space network structure prediction method

Abstract

The invention discloses a strong-wind high-speed railway along-the-line wind speed space network structure prediction method. The wind speed is predicted by building an optimal weighted combined model based on three prediction models, wherein the first prediction model uses the short-term historical wind speed data of multiple anemometer stations, the second prediction model uses the short-term historical wind speed data of a single anemometer station, and the third prediction model uses the historical wind speed data of multiple anemometer stations and the corresponding historical meteorological data. The method integrates multiple elements including space, time and weather, makes use of a plurality of data including current data of an auxiliary anemometer station and a target anemometer station, historical meteorological data of the auxiliary anemometer station and the target anemometer station and wind speed data, and ensures the diversity of data. Temporal correlation and spatial correlation are combined organically, which improves the prediction reliability. As the data of the three basic models is interleaved, the amount of calculation is reduced. The prediction stability is high, multi-step advance prediction is realized, and the method has engineering application value.

Description

technical field [0001] The invention relates to a prediction method for wind speed space network structure along a strong wind high-speed railway. Background technique [0002] Strong crosswinds are one of the main natural disasters that cause train accidents. Especially when the train passes through some special road sections such as large bridges, high embankments, hills and curves in the tuyere area, accidents such as derailment and overturning are prone to occur, causing casualties and economic losses. loss. Therefore, it is necessary to establish a strong wind monitoring and early warning system along the railway that is prone to strong wind weather. The system includes train information, road condition information along the railway, and wind speed information. Among them, the wind speed module is to install wind speed sensors and acquisition units along the railway line to collect wind speed data in real time. Since the railway department needs to dispatch and command...

AI Technical Summary

Problems solved by technology

However, the existing wind speed prediction methods are mostly based on the short-term wind speed data of a single anemometer station, which has poor anti-interference ability, and because there are too few reference factors, the prediction accuracy drops rapidly when the multi-step prediction is in advance.

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