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Consistent, real-time tracking of environmental and health status is critical in emergency shelters and off-grid health camps. We introduce an IoT-based Smart Shelter and Health Monitoring System that integrates low-cost sensors with cloud connectivity to achieve continuous, personalized supervision. The system uses an Arduino Uno for local data acquisition and control and a NodeMCU ESP8266 for wireless upload to a ThingSpeak dashboard. Air quality is monitored using an MQ135 sensor, temperature using a DS18B20, humidity using a DHT11, and vital signs—heart rate and blood oxygen saturation—using a MAX30100 module. RFID identification securely associates sensor readings with individual occupants. When any of the parameters go beyond safe limits, an alerting mechanism gives immediate notice to caregivers Prototyping demonstrations indicated that temperature measurements were within ±0.5 ℃ and humidity within ±3% RH of a calibrated reference instrument. Heart-rate and SpO₂ values calculated using the MAX30100 were within ±3 bpm and ±2%, respectively, of a commercial medical pulse oximeter. This given combined architecture offers a cost effective with scalable solution and health camps for communities, and other remote care facilities.

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IoT-Based Smart Shelter and Health Monitoring System for Emergency and Disaster Relief

  • 会议论文

  • 发表日期：

    2026年

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  • Sunil Tayde,
  • Sanika Prakash Kadam,
  • Vedika Kiran Kadam,
  • Aditya Kale,
  • Rupali Gavaraskar

摘要

Consistent, real-time tracking of environmental and health status is critical in emergency shelters and off-grid health camps. We introduce an IoT-based Smart Shelter and Health Monitoring System that integrates low-cost sensors with cloud connectivity to achieve continuous, personalized supervision. The system uses an Arduino Uno for local data acquisition and control and a NodeMCU ESP8266 for wireless upload to a ThingSpeak dashboard. Air quality is monitored using an MQ135 sensor, temperature using a DS18B20, humidity using a DHT11, and vital signs—heart rate and blood oxygen saturation—using a MAX30100 module. RFID identification securely associates sensor readings with individual occupants. When any of the parameters go beyond safe limits, an alerting mechanism gives immediate notice to caregivers Prototyping demonstrations indicated that temperature measurements were within ±0.5 ℃ and humidity within ±3% RH of a calibrated reference instrument. Heart-rate and SpO₂ values calculated using the MAX30100 were within ±3 bpm and ±2%, respectively, of a commercial medical pulse oximeter. This given combined architecture offers a cost effective with scalable solution and health camps for communities, and other remote care facilities.