A Semi-Automated Earthquake Evacuation System Using Early Warning Detection

This paper presents the development and validation of a semi-automated evacuation route system designed for rapid response during seismic events. Given Japan’s frequent earthquakes, ensuring timely evacuation is a critical issue. The proposed system utilizes the Earthquake Early Warning (EEW) system to detect seismic activity and offers residents the option to automatically open doors or windows, securing evacuation routes before structural deformation occurs. A prototype of the system was developed using a Raspberry Pi and tested with pre-recorded EEW signals. Results show that while the system reliably detected EEW and transmitted notifications to residents, the time required for window opening reached 14 seconds, indicating room for improvement in response time. Future work will focus on reducing this delay through local server implementation and bypassing cloud-based systems. This system not only aids in disaster response but also has potential for everyday applications, such as baby cry detection, ensuring its continued relevance in daily life.

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Publication Details

Journal
WSEAS TRANSACTIONS ON SIGNAL PROCESSING
Published
2024-11-29
DOI
https://doi.org/10.37394/232014.2024.20.8
Primary Topic
Seismology and Earthquake Studies
Type
article
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article

A Semi-Automated Earthquake Evacuation System Using Early Warning Detection

Tomohiro Fukuda
1 links
WSEAS TRANSACTIONS ON SIGNAL PROCESSING
Seismology and Earthquake Studies
article

A Semi-Automated Earthquake Evacuation System Using Early Warning Detection

Tomohiro Fukuda
article en

Abstract

This paper presents the development and validation of a semi-automated evacuation route system designed for rapid response during seismic events. Given Japan’s frequent earthquakes, ensuring timely evacuation is a critical issue. The proposed system utilizes the Earthquake Early Warning (EEW) system to detect seismic activity and offers residents the option to automatically open doors or windows, securing evacuation routes before structural deformation occurs. A prototype of the system was developed using a Raspberry Pi and tested with pre-recorded EEW signals. Results show that while the system reliably detected EEW and transmitted notifications to residents, the time required for window opening reached 14 seconds, indicating room for improvement in response time. Future work will focus on reducing this delay through local server implementation and bypassing cloud-based systems. This system not only aids in disaster response but also has potential for everyday applications, such as baby cry detection, ensuring its continued relevance in daily life.

WSEAS TRANSACTIONS ON SIGNAL PROCESSINGVol. 20
Shimonoseki City University (JP)
Climate action
Openalex Percentile: Top 80%
Seismology and Earthquake Studies
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