Automatic weather station real-time data quality control method based on PSR-FastICA-OS_ELM

Abstract

The invention discloses an automatic weather station real-time data quality control method based on PSR-FastICA-OS_ELM. According to the method, firstly, single station real-time air temperature and a fixed length historical air temperature sequence are collected, and a collection signal is formed; then the collection signal is subjected to basic quality control; the phase space reconstruction is carried out; a reconstructed high-dimensional vector space signal is subjected to rapid independent component analysis, purposes of denoising and redundancy elimination are achieved, and an unbiased signal of a source signal in a high-dimensional vector space is obtained; finally, through an online sequential extreme learning machine, the reconstruction model of a time sequence collection sequence is constructed, and a denoised air temperature reconstruction value is obtained. According to the comparison of the denoised air temperature reconstruction value with an actual observation value, the condition correction is carried out, and the quality control of the air temperature of the time is completed. According to the method, the requirement of real-time data collection is satisfied, and the quality of real-time automatic weather station observation data is improved.

Description

technical field [0001] The invention relates to the field of quality control of observation data of automatic weather stations, and in particular invents a quality control method for real-time collection of temperature data by automatic weather stations. Background technique [0002] Since the late 1990s, my country has deployed ground automatic meteorological observation systems at some stations. By 2011, more than 2,500 ground automatic weather stations across the country have been applied to meteorological observation services. Automatic weather stations have the characteristics of dense station distribution, large terrain differences, harsh station environment, high degree of automation in data collection and transmission, strong real-time data, and obvious small and medium-scale weather phenomena. The data appear to be more complex and serious, so it is necessary to carry out quality control on the observation data of automatic weather stations. my country conducts two...

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Problems solved by technology

[0004] The purpose of the present invention is to provide a kind of automatic weather station real-time data quality control method based on PSR-FastICA-OS_ELM, has solved the problem that current quality control method can't eliminate random noise, system noise, micrometeorological noise, has improved automatic weather station real-time data quality control method. Quality of Observational Data

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