System Overview

The intelligent fire safety monitoring system deeply utilizes the Internet of Things, cloud computing AI、 Big data RFID、 Wireless sensing and other technologies are used to build a comprehensive management system that is digital, intelligent, and visual. This system integrates services such as the collection, transmission, analysis, and processing of fire information and data, enabling intelligent perception, identification, positioning, tracking, information sharing, and application of fire infrastructure, equipment and devices, water sources, fire stations, personnel, and other conditions. It comprehensively improves the level of fire risk warning and prevention, enhances emergency response and firefighting capabilities.

Functionality

1) Intelligent smoke detection

Based on an independent smoke detector, it can detect smoke in real time and provide alarm function. The platform can collect data from the smoke detector and alert users through various methods such as SMS, phone calls, and mobile apps.

2) Combustible gas monitoring

Accurately and timely monitor gas leaks and issue alerts to the platform. The platform can remind users through various means to reduce safety hazards.

3) Electrical fire warning

Real time collection and monitoring of residual current, temperature, and other data in the monitoring circuit. When an abnormality occurs in the monitoring circuit, it can quickly issue an alarm message and accurately display the cause of the fault, making it easier for staff to promptly identify electrical fire hazards.

4) Fire water monitoring

Real time monitoring of key data such as water pressure and liquid level of fire water sources. When the data reaches the preset value, it can immediately alert the platform for staff to investigate and handle in a timely manner.

5) Automatic fire alarm monitoring

Real time collection of alarm information and operational status information of front-end sensing devices (such as smoke, temperature, combustible gases, etc.) in networked buildings, and timely detection of various faults and safety hazards in front-end fire-fighting facilities.
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