Bionic earthquake prediction device

Abstract

A bionic earthquake prediction device comprises a basement, a sound collecting cover, sensing pipe piles, a sensing frame, induction sounding boards and ground level variation warning devices. The eight sensing pipe piles are embedded under a ground level of the basement according to the circumference; a sound collecting pipe is embedded in the middle of the circumference; the sensing frame is horizontally cradled on the sound collecting pipe; eight outer circle induction sounding boards of the induction sounding boards are fixed on the eight sensing pipe piles, and intermediate circle and inner circle induction sounding boards of the induction sounding boards are fixed on the sensing frame; the sound collecting cover covers on the induction sounding boards; a tail portion of the sound collecting cover is connected with a first amplifying speaker through a conducting pipe; the first amplifying speaker is in head-to-head connection with a collecting speaker which is in tail-to-tail connection with a second amplifying speaker; a head portion of the second amplifying speaker is provided with a vibration wave sensor and a sound wave sensor which are connected with a vibration wave recorder and a sound wave recorder respectively; a level ground of the basement is provided with an annular tubular ground level variation warning device; four walls of the basement are provided with straight line tubular ground level variation warning devices; and the annular tubular ground level variation warning device and the straight line tubular ground level variation warning devices are all connected with an alarm sounder. The bionic earthquake prediction device has the advantages of being strong in anti-jamming capability, high in sensitivity and accurate and reliable in prediction.

Description

technical field [0001] The invention relates to the technical field of earthquake prediction. In particular, it relates to a bionic earthquake prediction device. Background technique [0002] At present, there are many methods for predicting earthquakes, such as geomagnetic field seismometry, electric field, gravity field, ground stress, ground tilt seismometry, groundwater level changes, chemical composition changes, and various animal and plant abnormal responses. However, there are technical supports and they are constantly being explored. The above-mentioned seismic measurement methods are affected by various natural factors, artificial interference factors and unknown factors, and the facilities have low sensitivity, poor reliability, and weak anti-interference ability, etc., so they are not competent. Seismic tasks with high accuracy and great social responsibility have made earthquake prediction a difficult problem in the world. Therefore, improving the accuracy of e...

AI Technical Summary

Problems solved by technology

However, there are technical supports and they are constantly being explored. The above-mentioned seismic measurement methods are affected by various natural factors, artificial interference factors and unknown factors, and the facilities have low sensitivity, poor reliability, and weak anti-interference ability, etc., so they are not competent. Seismic tasks with high accuracy and great social responsibility have made earthquake prediction a difficult problem in the world. Therefore, improving the accuracy of earthquake prediction and reducing the multi-solution of prediction results are the core problems to be solved in earthquake prediction, and they are also the top priority of the earthquake technology community.

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