The Smart Lab Fire Safety and Asset Protection System is a laboratory-focused IoT safety and incident-management solution designed to improve fire-risk monitoring, protect valuable laboratory assets, and support faster and more traceable emergency response. Conventional local fire alarms often provide limited remote monitoring and do not directly connect fire-related incidents with information about laboratory assets, responsible personnel, historical environmental conditions, and response records. This project addresses these limitations by integrating fire monitoring, asset management, and incident coordination into a single platform.

The system uses an ESP32 sensor node equipped with MQ-2 smoke, flame, and DHT22 temperature and humidity sensors, together with local buzzer and LED indicators for immediate alerts. Sensor data is transmitted to a Laravel API backend and stored in a MySQL database. Authorized users can monitor laboratory conditions through a Flutter mobile application, while administrators can manage users, sensor nodes, protected assets, duty rosters, alerts, reports, and audit records through a Laravel web portal. When configured safety thresholds are exceeded, the system generates an alert containing relevant sensor and asset information. It also supports Telegram-based notifications, allowing responsible personnel to acknowledge incidents and record response remarks. Historical sensor readings and generated reports provide additional traceability for subsequent review and analysis.

The main contribution of the project is the integration of environmental monitoring with asset information and structured incident-response management in a low-cost, laboratory-specific prototype. Unlike a standalone fire alarm, the system connects detected risks with the affected location, protected equipment, responsible personnel, notification history, and recorded response actions. For the current FYP1 phase, the deliverable is a verified software prototype using a controlled sensor simulator. The system has successfully passed 159 Laravel tests with 730 assertions and 64 Flutter tests. Physical ESP32 sensor integration, sensor calibration, and real-environment validation are planned for the next development phase. The system is intended as an academic safety-support prototype and is not designed to replace certified fire-detection equipment.