Low cost disaster detection and early warning system

This paper outlines a proposed low-cost monitoring and early-warning prototype based on an ESP32, selected environmental sensors, local alerts and optional IoT connectivity. The design separates sensor input, decision-making, local warning and remote reporting, so individual parts can be changed or expanded as needed. The prototype can demonstrate how embedded electronics and IoT are used to monitor environmental conditions. A dependable disaster-warning service requires more than a controller and sensors: it also needs suitable equipment, site-specific thresholds, calibration, redundancy and careful validation. For this reason, the proposed system should be treated as an educational aid, not a replacement for official or certified warning systems.

[1]  Espressif Systems, “ESP32 Series Datasheet,” official technical documentation. [2]  Espressif Systems, “ESP-IDF Programming Guide,” official documentation for firmware development and networking. [3]  World Meteorological Organization, “Multi-hazard Early Warning Systems,” guidance on people-centred early warning systems. [4]  National Disaster Management Authority, Government of India, disaster-management guidelines and public advisories relevant to the selected hazard. [5] Manufacturer datasheet for the exact water-level sensor selected, including operating range and installation limitations. [6] Manufacturer documentation for the selected rain sensor/module and its calibration requirements. [7] Manufacturer datasheet for the selected temperature/humidity sensor and its accuracy and operating range. [8]  Espressif Systems, ESP32 hardware design guidelines, including supply and GPIO requirements. [9]  Arduino, “Arduino IDE Documentation,” if the Arduino framework is used. [10] ThingSpeak, official documentation for IoT data collection and visualization, if selected.