Thunder identification method

A recognition method and thunder technology, applied in speech analysis, instruments, etc., can solve the problems of inability to meet strong random thunder recognition, high algorithm complexity, long recognition time, etc., and achieve short recognition time, high precision, accurate The effect of sexual and real-time satisfaction

Inactive Publication Date: 2015-12-02
WUHAN NARI LIABILITY OF STATE GRID ELECTRIC POWER RES INST
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AI Technical Summary

Problems solved by technology

The thunder signal will vary with the form, strength, and distance of the lightning, and the use of traditional waveform, frequency and other characteristics can no longer meet the identification of strong random thunder; and speech such as BP neural network and Gaussian mixture model The recognition algorithm needs to be trained with a large number of samples, the algorithm complexity is high, and the recognition time is long, so it is not suitable for thunder recognition in thunder three-dimensional positioning

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Embodiment Construction

[0034] The technical solutions of the present invention will be described below in conjunction with the accompanying drawings and embodiments.

[0035] Such as figure 1 As shown, it is a schematic flow chart of a thunder recognition method according to the present invention, and the original input audio signal is divided into frames;

[0036] Convert each frame of audio signal to obtain the audio amplitude spectrum, and calculate the audio power spectrum of the low frequency band and the proportion of the audio power of the low frequency band;

[0037] Determine the relationship between the ratio and the predetermined threshold, if the ratio is greater than the predetermined threshold, it is judged as a thunder signal, otherwise it is judged as a noise signal.

[0038] In the thunder recognition method of the present invention, the audio signal is first processed in frames, then the power of the low-frequency band of the audio signal is calculated, effective segment identific...

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Abstract

The invention relates to a thunder identification method, including the steps of: performing framing on an originally input audio signal; converting each frame of audio signal to obtain an audio amplitude spectrum, calculating power of a lower frequency band, and adopting a double-threshold endpoint detection method to identify an audio effective segment; calculating power of an audio signal of the effective segment, and judging a relation between a proportion of the power of the lower frequency band a predetermined threshold value, if the proportion is larger than the predetermined threshold value, judging the audio signal to be a thunder signal, and otherwise judging the audio signal to be a noise signal. The thunder identification method provided by the invention can not only overcome interference of environmental noise, but can also be suitable for thunder signals of different forms, and satisfies requirements of a thunder three-dimensional positioning system in accuracy and real-time performance.

Description

technical field [0001] The invention relates to a thunder sound identification method. Background technique [0002] Lightning is one of the serious disasters affecting human activities in nature. It will not only cause casualties, but also cause immeasurable economic losses to my country's aerospace, electronics industry, petrochemical, transportation, forestry and other industries. In recent years, frequent accidents caused by lightning have made people from all walks of life pay more and more attention to the real-time monitoring and protection of lightning. [0003] Real-time monitoring of lightning is the basis of lightning protection and disaster mitigation. China began to study lightning positioning technology in the late 1980s, and has established lightning positioning systems in more than 30 provinces since the 1990s. It has now been realized. National network. The lightning positioning system integrates the lightning electromagnetic signals obtained by multiple d...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G10L17/26G10L17/02
Inventor 谷山强冯万兴周自强许远根郭钧天田浩陶汉涛章涵吴大伟周愚
Owner WUHAN NARI LIABILITY OF STATE GRID ELECTRIC POWER RES INST
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