A DECENTRALIZED INTERNET OF THINGS (IOT) SENSOR NETWORK WITH AN ESP CONTROLLER FOR INTELLIGENT MONITORING OF NATURAL DISASTERS AND RISK ANALYSIS

Abstract

Many lives, buildings, crops, and public safety are at risk during earthquakes, floods, and other severe weather occurrences. Unfortunately, continuous monitoring in distant and catastropheprone locations is frequently not possible with conventional catastrophe monitoring systems due to their centralization, high costs, and restricted geographic coverage. A Distributed Internet with Things (IoT) sensor infrastructure for smart emergency monitoring & risk analysis utilizing an ESP-based controller is presented in this research to overcome these shortcomings. Diverse sensor nodes placed in strategic areas throughout the world would gather data on vibrations and the surrounding environment in real time under the proposed system. The gyroscopes, temperature sensors, and precipitation analyzers that come standard on every node allow for the detection of unusual ground vibrations, environmental monitoring, and tracking of precipitation. A central Internet of Things (IoT) server is used for monitoring, analysis, & risk assessment after the ESP controller processes the acquired sensor data locally. The technology detects out-of-the-ordinary occurrences and sends out warnings to users in the event of possible catastrophes based on established thresholds and trends in sensor data. To help with decision-making and being ready, the system also shows environmental conditions & risk levels graphically via a web-based dashboard. Scalability, affordability, and applicability to either remote or high-risk regions, thereby supporting early warning, distributed monitoring, and improved disaster management.