The "Distributed Intelligent Smoke Fire Early Warning System" is an automatic fire alarm system that uses air sampling tubes to analyze the air in the protected area through detectors, in order to provide early warning of fires. It consists of multiple networked "suction type smoke fire detectors", substation servers, remote servers, air sampling pipelines and accessories, detection software, etc.

     Inhalation smoke fire detector is an automatic fire alarm device that uses an air sampling tube to draw air from a protected area into the detector for analysis and early warning of fires. It uses a long-life laser light source as the detection light source, utilizes light scattering technology for smoke detection, and achieves false alarm prevention and smoke particle identification through artificial neural network technology. Compared to traditional smoke detection products, the detection sensitivity of inhalation smoke fire detectors can reach over 1000 times, and the false alarm rate can be reduced through algorithms, thus achieving the function of early fire detection and alarm.

      The inhalation smoke fire detector adopts the principle of laser light scattering. The air sample containing smoke passes through the detection chamber at a constant speed under the action of the fan. When the laser passes through the smoke particles, it scatters, and the scattered light is received by a high-sensitivity photoelectric receiver. The scattered signal is processed and converted into information about the smoke concentration. This smoke detector has extremely high sensitivity, reaching a refractive index of 0.005%, which is thousands of times higher than ordinary detectors. It can achieve extremely early warning, avoid fires, and upload monitoring data in real time, providing a basis for fault analysis.

Functional characteristics and innovative points

1. Adopting forward backward and dual wavelength laser scattering technology, the product's anti false alarm ability is greatly improved through artificial neural network algorithm processing

2.24-hour self-learning environment to avoid the impact of environmental changes and overcome the drawbacks of traditional fixed threshold settings

3. Use imported high-power long-life suction pump, with wind speed self-adjusting according to environmental conditions

4. Multi level filtering, self-cleaning of laser detection chamber, extending the lifespan of the detection chamber

5. Intelligent monitoring of suction pipeline status, with alarm function for blockage and damage faults

6. CO+smoke dual detector fire detection and alarm

7. Fully modular design, convenient for later maintenance

8. Equipped with a built-in LCD display panel, real-time display of smoke concentration

9. Partition positioning function, quickly identify the area where the fire occurred

10. Flexible communication function, RS485, CAN bus, network port communication