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Earthquake early warning method based on Internet of Things multi-sensor information fusion and neutral network technology

A neural network and multi-sensor technology, applied in the field of earthquake early warning based on multi-sensor information fusion of the Internet of Things and neural network technology, can solve the problem of limiting the effectiveness of radon method, lack of long-term continuous and uninterrupted measured data and multi-parameter information fusion platform and Abnormal information extraction method, lack of radon gas real-time acquisition method and other issues

Inactive Publication Date: 2013-08-14
CHENGDU UNIVERSITY OF TECHNOLOGY
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Problems solved by technology

[0008] For many years, due to the lack of an effective real-time acquisition method of radon in soil and radon in well water, the lack of long-term continuous and uninterrupted measured data, a multi-parameter information fusion platform and an abnormal information extraction method, the application of radon method in earthquake prediction has been limited. effectiveness

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  • Earthquake early warning method based on Internet of Things multi-sensor information fusion and neutral network technology
  • Earthquake early warning method based on Internet of Things multi-sensor information fusion and neutral network technology

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Embodiment Construction

[0018] Embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0019] figure 1 It is a step diagram for the realization of the earthquake early warning method based on the multi-sensor information fusion of the Internet of Things and the neural network technology. First of all, through the Internet of Things technology, a variety of sensor information from multiple seismic parameter monitoring points are networked and fused S101, such as: soil radon α energy spectrum, well radon α energy spectrum, soil temperature, soil humidity, soil pressure, surface Temperature, surface humidity, surface pressure, surface wind speed, surface rainfall, well water level, well water temperature, well water turbidity, well water mercury, well water carbon dioxide, ground sound and ground inclination, the above information is synchronous measurement data; Then, obtain the abnormal information feature vector S102 through wavelet ana...

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Abstract

The invention provides an earthquake early warning method based on Internet of Things multi-sensor information fusion and a neutral network technology, which comprises the concrete steps of firstly performing networking fusion on the multi-sensor information of multiple earthquake parameter monitoring points by the Internet of Things technology, wherein the information comprises soil radon alpha energy spectrum, well radon alpha energy spectrum, temperature in soil, humidity in the soil, air pressure in the soil, surface temperature, surface humidity, surface air pressure, surface wind speed, surface rain fall, well water level, well water temperature, well water turbidity, well water mercury, well water carbon dioxide, earthquake sound, earthquake tilting and the like; then obtaining abnormal information feature vectors by wavelet analysis, a correlational analysis method, a feature tree search method, a non-linear quantifying and processing method and a main component analysis method; and finally obtaining the relation between the multi-sensor information abnormality and an earthquake by the neutral network technology, thus achieving the aim of predicting the earthquake. The technical scheme of earthquake early warning method based on the Internet of Things multi-sensor information fusion and the neutral network technology is feasible and convenient to implement and can achieve the aim of more accurately predicting the earthquake.

Description

technical field [0001] The invention relates to the field of earthquake disaster early warning, in particular to an earthquake early warning method based on multi-sensor information fusion of the Internet of Things and neural network technology in earthquake early warning multi-parameter monitoring. Background technique [0002] The Internet of Things is called the third wave of the world's information industry after computers and the Internet. In 1999, Professor Kevin Ashton of the Massachusetts Institute of Technology proposed the concept of the Internet of Things characterized by marking, applying RFID technology and sensor technology to everyday objects to form an "Internet of Things". At present, many countries are spending huge sums of money to carry out in-depth research. The Internet of Things is a new technology system formed by the integration of multiple information technologies. In 2011, the Ministry of Industry and Information Technology issued the "Ministry of...

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Application Information

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IPC IPC(8): G01V1/00H04L29/08
Inventor 丁卫撑庹先国黄洪全方方龚迪琛汪栋陈浩峰
Owner CHENGDU UNIVERSITY OF TECHNOLOGY
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