SYSTEM FOR EARTHQUAKE EARLY DETECTION USING MACHINE LEARNING TECHNIQUE

Abstract

ABSTRACT A system (100) for earthquake early detection is disclosed. The system (100) comprises a plurality of seismic sensors (102) configured to collect real-time seismic data. Further, the system (100) comprises at least one processor (104) that uses a machine learning model, and is configured to analyze the collected seismic data for earthquake location and magnitude estimation. Further, the system (100) comprises an alert generation module (106) configured to issue alerts based on detected seismic events. Further, the system (100) comprises a user interface module (108) configured to display data, customize alerts, and provide interactive maps.

Specification

Description:FIELD OF THE DISCLOSURE
[0001] This invention generally relates to a field of earthquake early detection systems and in particular relates to a system for real-time seismic data processing and early earthquake detection using machine learning techniques to improve predictive accuracy and enhance emergency response capabilities.
BACKGROUND

[0002] The subject matter discussed in the background section should not be assumed to be prior art merely as a result of its mention in the background section. Similarly, a problem mentioned in the background section or associated with the subject matter of the background section should not be assumed to have been previously recognized in the prior art. The subject matter in the background section merely represents different approaches, which in and of themselves may also correspond to implementations of the claimed technology.
[0003] Earthquakes present a persistent and severe hazard to human populations, infrastructure, and economic stability. With a global increase i , Claims:1. A system (100) for earthquake early detection comprising:
a plurality of seismic sensors (102) configured to collect real-time seismic data;
at least one processor (104) that uses a machine learning model, and is configured to analyze the collected seismic data for earthquake location and magnitude estimation;
an alert generation module (106) configured to issue alerts based on detected seismic events; and
a user interface module (108) configured to display data, customize alerts, and provide interactive maps,
wherein the system (100) improves real-time earthquake detection, response time, and alert accuracy to enhance emergency preparedness.

2. The system (100) for earthquake early detection of claim 1, wherein the machine learning model is a random forest algorithm that utilizes at least three seismic stations and a minimum of 10% of available training data to achieve a specified level of prediction accuracy for earthquake events.

3. The system (100) for earthquake early detection of claim 1, further c

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