AN IOT-BASED EARTHQUAKE EARLY WARNING SYSTEM WITH FUZZY LOGIC FOR UTILITY CONTROL IN TEHRAN

Introduction: In disaster scenarios, while predicting disasters is challenging, preparation is essential. Internet of Things (IoT) technology, which is well-established, can play a significant role in disaster management. For countries, especially those prone to seismic activity, implementing early warning systems is critical to saving lives and minimizing damage. These systems alert individuals and authorities when disasters strike. However, limited attention has been given to post-disaster decision-making for monitoring essential utilities, such as gas and electricity, during critical times. Methods: Integrating IoT with a Fuzzy system can improve decision-making after disasters, reducing costs and destruction in urban areas. Tehran, a city with high seismic risk and an extensive gas network, faces significant dangers from damage to gas and electricity systems in the event of a major earthquake. Results: The research highlights that the proposed IoT-Fuzzy system performs effectively when compared to the JICA Seismic Hazard Assessment of Tehran. It issues disconnection commands for critical utilities within 10 seconds based on predicted damage levels, helping to reduce secondary damage after an earthquake. This system shows promise in improving post-disaster response and safeguarding urban infrastructure.