Seismic events pose a significant threat to both human life and infrastructure, often resulting in catastrophic consequences. Traditional earthquake alert systems rely on human intervention, leading to delays when immediate action is needed. This project aims to develop an IoT-based earthquake detection and emergency response system for buildings, offering a faster, automated solution to improve safety. The system uses advanced seismic sensors, microcontrollers, and actuators to detect tremors in real-time. When seismic activity is identified, the system classifies the event and triggers emergency actions, including unlocking exits, automatically opening windows and doors to facilitate evacuation, sounding alarms, and sending alerts to authorities with key information such as event location and magnitude. A mobile app complements the system by providing real time seismic data visualization and historical analysis, helping occupants and emergency services make informed decisions. The system is rigorously tested to ensure it accurately detects significant seismic events while filtering out minor tremors. By automating key functions and offering continuous monitoring, this system aims to reduce response times, enhance occupant safety, and minimize structural damage during earthquakes. This project provides a vital, IoT-powered innovation to improve earthquake preparedness and resilience in at-risk regions.

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Seismic Early Warning Framework Utilizing IoT-Integrated Wireless Sensor Networks

  • Jeethuri Rakesh,
  • Jathikarthi Bhuvaneshwar,
  • P. Vishnu Kumar,
  • M. V. Dharma Reddy,
  • Shaik Nazeem Basha

摘要

Seismic events pose a significant threat to both human life and infrastructure, often resulting in catastrophic consequences. Traditional earthquake alert systems rely on human intervention, leading to delays when immediate action is needed. This project aims to develop an IoT-based earthquake detection and emergency response system for buildings, offering a faster, automated solution to improve safety. The system uses advanced seismic sensors, microcontrollers, and actuators to detect tremors in real-time. When seismic activity is identified, the system classifies the event and triggers emergency actions, including unlocking exits, automatically opening windows and doors to facilitate evacuation, sounding alarms, and sending alerts to authorities with key information such as event location and magnitude. A mobile app complements the system by providing real time seismic data visualization and historical analysis, helping occupants and emergency services make informed decisions. The system is rigorously tested to ensure it accurately detects significant seismic events while filtering out minor tremors. By automating key functions and offering continuous monitoring, this system aims to reduce response times, enhance occupant safety, and minimize structural damage during earthquakes. This project provides a vital, IoT-powered innovation to improve earthquake preparedness and resilience in at-risk regions.