Conclusion 

An intelligent data center safety system was designed to improve monitoring and security within data centers by integrating multiple sensors and layered security features into a single system. The project began with the design and simulation of a 3D model of the data center environment, including server racks and a secure access door. Automation was implemented and applied for different types of sensors such as smoke/gas, flame, humidity, and temperature sensors. When any abnormal condition is detected, such as smoke, the ESP32 microcontroller directly activates a buzzer, updates the dashboard interface, and sends an email notification. This automated response ensures quick reaction and minimizes the risk of system failure.

The project also introduced two layers of physical security. The first layer consists of a keypad that limits unauthorized access by activating the buzzer after each incorrect attempt and locking the system after three failed attempts. The second layer operates a laser detection system to identify movement during off hours. Studies show that laser detection systems can reach up to 100% detection in some cases, while other research reports detection rates of about 80% to 85%, confirming their efficiency. All hardware components were interconnected using jumper wires and a breadboard, with the ESP32 functioning as the main controller. The software was developed using C++, HTML, CSS, and JavaScript to define conditions, set control rules, implement the custom web dashboard, and send notifications of abnormal conditions.

Future Work

Future work can suggest ways to improve the system’s performance and efficiency.

AI CCTV Integration: Add CCTV cameras with AI video analysis to detect fire, smoke, or unauthorized access in real time, providing an additional layer of security.

Improve Dashboard: Improve the web dashboard by adding real time graphs, charts, and statistical information to make the collected data easier to monitor and understand.

Fire Isolation System: Use a device that reduces or removes oxygen in the room during a fire to help prevent it from spreading.

User Customization: Allow users to change sensor thresholds, rules, and dashboard settings without uploading code to the ESP32.

Mobile App Support: Create a mobile app that lets administrators receive alerts and monitor the system directly from their smartphones.

Vibration Detection: Add vibration sensors to detect shocks in the data center, adding another layer of physical security.

Water Leak Detection: Install water leak sensors at the room entrance to provide early warnings and protect equipment from water damage.