In this project, we employed a highly modern surveillance system with a total of 27 cameras installed across six critical areas within the facility, including equipment rooms and the substation. These cameras serve not only for monitoring purposes but also feature advanced fire detection capabilities. They enable real-time detection of smoke and flames in specific areas of the footage, achieved through AI image analysis technology. This technology rapidly identifies potential fire risks and issues alerts, allowing for immediate response measures.
The significance of this system cannot be overstated as it enables the early detection of danger signals before a fire occurs, contributing significantly to reducing damage and risks associated with fires. Through this intelligent monitoring technology, organizations can better protect their assets and ensure the safety of their employees. Additionally, it provides valuable time for emergency response, allowing for prompt action to minimize potential disaster impacts. This highly modernized system highlights the crucial role of technology in safeguarding institutional security and operations, offering powerful tools for future fire prevention and disaster management.
—— Architecture Plan ——
Here are the enhanced features of each component:
- Field Monitoring Cameras: These cameras are located in critical areas, including control rooms and substations, among other high-risk zones. They not only provide visual surveillance but also have the capability to capture signs of fire, such as smoke and flames. These cameras are typically high-resolution to ensure image clarity and feature low-light capabilities to adapt to different lighting conditions.
- Surveillance Recording Mainframe or Central Monitoring Management System Server: These servers are responsible for receiving, storing, and managing surveillance footage and image data from various cameras. The data requires high accessibility and security to facilitate retrieval and analysis when needed.
- Fire Alarm Server: This server is responsible for receiving fire detection signals from surveillance cameras and triggering fire alarms. This can be achieved by connecting to the fire protection system or other emergency response measures.
- Sufficient Network Environment for Transmitting Surveillance Footage: To ensure real-time delivery and high quality of surveillance footage, a stable network environment is essential. This may require a high-bandwidth network connection and optimized network infrastructure to ensure that the footage is delivered without delays or interruptions.
- Visual Fire Detection and Disaster Prevention Software: This is the core component of the system, utilizing AI image analysis technology for real-time detection of smoke and flames in surveillance footage. It requires powerful computational capabilities and model training to ensure a high level of accuracy and reliability. Once signs of a fire are detected, the software sends a signal to the Fire Alarm Server, triggering corresponding response measures.
This integrated framework combines modern technology, aiming to provide an efficient fire detection and alarm system to ensure the safety of personnel and assets. The reliability and efficiency of this system are crucial, as it can offer valuable time during a fire incident to take necessary response measures, thereby minimizing damage and risks. Simultaneously, it underscores the significant role of technology in enhancing industrial safety and disaster resilience.
—— Technical Integration ——
This system further enhances its fire detection and alarm capabilities, along with user management and monitoring functions.
Any Location and Multiple Zone Configurations - The system should allow users to choose and configure multiple zones in the footage for the detection of flames and smoke. This increases the system's flexibility, enabling customization of detection areas based on specific needs.
Adjustability of Flame and Smoke Detection Speed
Users should be able to adjust the speed and thresholds of flame and smoke detection based on different application scenarios, balancing detection sensitivity and false alarm rates.
Configurable Alarm Response Speed
Users should be able to configure the alarm response speed based on actual needs to ensure timely detection and notification. This helps to take prompt action in the event of a fire, minimizing damage to the greatest extent.
Support for LINE Group Notifications and Image Confirmation
In addition to issuing alarms, the system should also support notification functions, such as sending alerts through LINE group messages to administrators. Simultaneously, the system should be capable of synchronously transmitting image confirmations to provide additional information, assisting administrators in swiftly assessing the fire situation.
Integration with Campus Electronic Map Alarm Functionality
The system should integrate with the campus electronic map to accurately indicate the location of a fire and provide real-time location information, assisting emergency personnel in responding and locating quickly.
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