"Distributed intelligent smoke sensing fire early warning system" is an automatic fire alarm system that analyzes the air inhalation detector in the protected area through the air sampling tube, so as to carry out the early warning of the fire. It is composed of a number of networked "inhaling smoke sensing fire detectors", servers in the substation, remote servers, air sampling tubes and accessories, detection software, etc.

    The air-breathing smoke detector is an automatic fire alarm device which draws the air into the detector of the protected area through the air sampling tube for analysis and thus carries out the early warning of the fire. It uses long-life laser light source as the detection light source, uses light scattering technology to detect smoke, and realizes false alarm prevention and smoke particle identification by artificial neural network technology. Compared with the traditional smoke detection products, the detection sensitivity of the air breathing smoke detector can reach more than 1000 times, and the false alarm rate is reduced by the algorithm, so as to achieve the function of very early fire detection and alarm.

      The principle of laser light scattering is adopted in the air breathing smoke fire detector. The air sample containing smoke passes through the detection chamber at a constant speed under the action of the fan. The laser light is scattered when it passes through the smoke particles. The scattered light is received by the highly sensitive photoelectric receiver, and the scattered signal is processed and converted into the information of the smoke concentration. The sensitivity of this smoke detector is extremely high, reaching an refractive index of 0.005%, which is thousands of times that of ordinary detectors, and can achieve very early warning, avoid fire, and monitoring data are uploaded in real time to provide a basis for fault analysis.

Functional characteristics and innovation points

1. The use of forward and backward, dual-wavelength laser scattering technology, through the artificial neural network algorithm processing, greatly improve the product anti-false positive ability

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

3. The use of imported high-power long-life suction pump, according to the environmental conditions of the wind speed self-regulation

4. Multistage filtration, laser detection chamber self-cleaning, prolong the detection chamber life

5. Intelligent monitoring of suction pipeline status, blockage, damage alarm function

6.CO+ smoke double detector fire detection alarm

7. Full modular design, convenient later maintenance

8. LCD panel, real-time display of smoke concentration

9. Zone location function, quickly identify the fire area

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