Project
# | Title | Team Members | TA | Documents | Sponsor |
---|---|---|---|---|---|
17 | Firefighter Health Monitoring Network |
Bryan Chang Kevin Huang Steven Y M Chang |
Surya Vasanth | design_document1.pdf design_document3.pdf design_document4.pdf proposal1.pdf proposal2.pdf |
|
# Team Members Bryan Chang chchang9 Steven Y M Chang sychang5 Kevin Huang kuanwei2 # Problem Firefighters operate in extremely hazardous environments where their health and safety are constantly at risk. Current methods of monitoring firefighter health during active duty are limited, often relying on periodic check-ins or self-reporting. This can lead to delayed responses to health emergencies, such as heat exhaustion, overexertion, or cardiac events. Incident commanders lack real-time, comprehensive health data on their team, making it challenging to make informed decisions about resource allocation and firefighter safety. # Solution We propose the development of a "Firefighter Health Monitoring Network" - a system of wearable devices integrated into firefighters' gear that continuously monitors vital signs and environmental conditions. The system uses a mesh network of ESP32-based devices to transmit real-time health data to a central monitoring hub. This allows incident commanders to have immediate, comprehensive awareness of their team's health status, enabling quick decision-making and potentially life-saving interventions. # Solution Components ## Hardware Subsystems 1. Wearable Sensor Subsystem This subsystem is responsible for continuously collecting real-time health and environmental data from individual firefighters. The sensors track vital signs like heart rate, blood oxygen level, body temperature, and motion, as well as external factors such as temperature and smoke density. The data is sent to the mesh network of the esp32 and to the central hub via a reliable communication method ESP-MESH and LoRa. The rugged design ensures it functions in extreme conditions without compromising firefighter mobility or safety. - ESP32 microcontroller - Heart rate sensor (Photoplethysmography (PPG) sensor) - Blood oxygen level sensor (Photoplethysmography (PPG) sensor) - Body temperature sensor (e.g., MLX90614) - Accelerometer/gyroscope for motion detection - Environmental sensors (e.g., external temperature, smoke density) - LoRa module for extended communication - Small, rechargeable, heat-resistant battery - Rugged, heat-resistant enclosure - Audio jack to connect to the firefighters communication system - Buttons and LEDs for simple setting configuration 2. Central Monitoring Hub Subsystem The central hub acts as the control center for the network, gathering and visualizing health data from all firefighters in real time. It allows incident commanders to monitor the team’s health status, detect potential health risks, and respond quickly to emergencies. Its extended battery life and rugged design ensure that it remains operational during prolonged operations in harsh environments. - ESP32-based device with larger battery capacity - 7" TFT touch screen for data visualization and input - LoRa module for extended communication - Rugged, portable enclosure - Buzzer to sent out critical alert to watch commander - Buttons and LEDs for simple setting configuration 3. Power Subsystem The power subsystem ensures that both the wearable units and the central hub have the energy to operate continuously in extreme conditions. Larger batteries in the central hub support extended use, while the power management circuitry optimizes battery life. Heat-resistant lithium-ion batteries for wearable units. - Larger capacity battery for the central hub - Power management circuitry for efficient operation ## Software - Embedded software for wearable units to collect and transmit sensor data - Mesh networking protocol implementation (ESP-MESH) - Data processing algorithms for health status assessment - Central hub software for data visualization and alert management - Health analytics/ algorithm for abnormal health data detection - Mesh Network Integration - Utilize ESP32's ESP-MESH capabilities for a self-forming, self-healing network - Implement secure, low-latency data transmission protocols - Develop network management software for the central hub ## Subsystem Integration - Wearable units continuously collect and transmit health data through the mesh network - Central hub receives, processes, and displays data from all connected firefighters - The mesh system should alert every firefighters in site for faster response time # Criteria for Success 1. The system shall continuously monitor and transmit vital signs data 2. Wearable units shall operate for at least 8 hours on a single charge in typical firefighting conditions. 3. The mesh network shall maintain connectivity in challenging environments (e.g., inside buildings, around obstacles) 4. The mesh network shall automatically form and maintain connectivity with no manual configuration required. 5. The system shall generate automatic alerts for abnormal vital signs or lack of movement within 10 seconds of detection |