AETA Science Page 2021 - AETA Official Site

AETA’s Earthquake Science

How does AETA’s forecasting system work?

AETA’s Science

How does AETA’s forecasting system work?

AETA’s earthquake science is what stands us apart from numerous other companies across the globe working in earthquake forecasting & prediction.

Over 5 years, AETA has developed a 3-part sensory system. The sensors have been perfected to collect and record specific seismic data that allows our team to find
precursory anomalies before an earthquake’s occurrence.

The system is comprised of 3 separate units designed to be placed beneath the earth to record 95 variants of datasets.

Electromagnetic

Sensor

Frequency range: 0.1 Hz to 10 kHz;
Dynamic range of output: 0.1nT~1000nT;
Sensitivity: >20mV/nT@0.1Hz~10kHz;

Data resolution: 18bits.
Size: Diameter is 90mm,
height is 850mm,
length of cable is 40m.

Acoustic

Sensor

Frequency range: 0.1 Hz to 10 kHz;
Voltage resolution: 19.073uV;
Conformity error: ＜±5.5%(0.47dB);

Data resolution: 18bits.
Size: Diameter is 265mm,
height is 68mm,
length of cable is 40m.

Terminal

Box

Multi-probe access
Data pre-processing, data packing &
transfer to cloud sever, local storage
Remote operation and access ability;

Our Smart Terminal Box

Processing, filtering, compression, and transmitting

The terminal box collects the data from the electromagnetic and acoustic sensors. Once the data is collected, the terminal box begins a 5-step process before the data is transmitted to AETA’s data cloud.

1) Data is gathered from the sensors
2) Data is filtered to match AETA’s parameters
3) After 1 minute of data collection is done, the transmission process begins
4) The terminal compresses the data for seamless transfer
5) Finally, data is transferred to the AETA cloud

AETA’s data collection flow

How data is collected and transferred

Why AETA’s system is more advanced?

Big data & AI

Our sensors can detect far beyond numerous earthquake monitoring equipment in the world. We have found many precursory anomalies occur within a frequency of 200HZ. Although our system can detect frequency over 10KHZ.

The data we have accumulated has detected certain precursory
anomalies that enable us to find similarities of an earthquake’s
occurrence before they occur, allowing our algorithm to calculate
accurate forecasts.

Compared to systems such as alert systems, their equipment cannot accommodate the data needed to detect these anomalies that can be used as indicators of when an earthquake will strike. Alert systems only work when an earthquake has hit basically when it is too late already.