Multipoint multilayer coupling prediction method for wind speed along high-speed railway

A high-speed railway and wind speed technology, applied in the field of multi-point and multi-layer coupling prediction of wind speed along the high-speed railway, can solve problems such as single sampling signal

Active Publication Date: 2017-05-31
CENT SOUTH UNIV
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Problems solved by technology

Existing railway wind speed prediction methods are mostly based on a single anemometer station, and the sampl...

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  • Multipoint multilayer coupling prediction method for wind speed along high-speed railway
  • Multipoint multilayer coupling prediction method for wind speed along high-speed railway
  • Multipoint multilayer coupling prediction method for wind speed along high-speed railway

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[0073] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0074] Such as figure 1 As shown, a multi-point multi-layer coupling prediction method of wind speed along the high-speed railway, including the following steps:

[0075] 1. In order to predict the future wind speed of the railway at the location of a target wind measuring station, five auxiliary wind measuring stations are installed around the location of the wind measuring station. Obtain the original wind speed data of the target wind measuring station and 5 auxiliary wind measuring stations in the same period, each set of wind speed data contains 600 data, the first 500 of the 600 data are used for modeling, and the 501st to 600th data are used for verify.

[0076] The target wind measuring station is recorded as A, and the 5 auxiliary wind measuring stations are respectively marked as B, C, D, E, and F. The first 500 original wind speed data of e...

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Abstract

The invention discloses a multipoint multilayer coupling prediction method for wind speed along a high-speed railway. The method comprises the steps that 1, five auxiliary wind-measuring stations are installed around a target wind-measuring station; 2, after original wind speed data is filtered and disintegrated, wavelet denoising is performed; 3, signals are summated and reconstructed; 4, m auxiliary wind-measuring stations with high significance relative to the target wind-measuring station are selected; 5, prediction models are established for all PF components of subsequences of all frequency layers of the selected auxiliary wind-measuring stations; 6, the PF components of all the frequency layers of the m selected auxiliary wind-measuring stations are used as input, PF components of all frequency layers of the target wind-measuring station are used as output, and a GA-optimized RBF neural network is adopted to perform training; and 7, ahead multistep predicted values of the m auxiliary wind-measuring stations are utilized to obtain an ahead multistep wind speed predicted value of the target wind-measuring station. Through the method, the wind speed along the railway can be subjected to high-precision ahead multistep prediction to be used for effectively dispatching and commanding a train in a strong wind environment of the high-speed railway, and data interruption caused by a hardware fault of a single wind-measuring station can be avoided.

Description

technical field [0001] The invention belongs to the field of railway wind speed prediction, in particular to a multi-point and multi-layer coupling prediction method for wind speed along a high-speed railway. Background technique [0002] my country has a vast territory, and the railway wind environment is complicated, and strong winds often occur in some places. Strong wind is one of the main disasters leading to train accidents, ranging from train outage to severe train crashes. In special wind field areas, such as tunnel entrances, bridges, tuyeres, areas where different wind-shielding facilities meet, and curved road sections, etc., the flow field around the train changes more obviously, and the aerodynamic load changes significantly, making the train more prone to accidents. With the development of my country's railways, the speed of trains is gradually increasing. The shape, traction mode, and structure of the EMU are very different from those of ordinary speed train...

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/30G06N3/08G06N3/12
CPCG06N3/08G06N3/126G06Q10/04G06Q50/30
Inventor 刘辉李燕飞
Owner CENT SOUTH UNIV
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