Aspirating fire detection system with high sensitivity and multi-parameter

Abstract

A kind of ultra-early fire detection system with high sensitivity and multi-parameter is introduced. The hardware of the system comprises smoke detecting module, CO gas detecting module, temperature detecting module and processing module. Optical measurement room of smoke detecting module is designed specially; it serves as a collimating and beam expanding unit as well as laser trap. It can detect the smoke of ultra-low concentration in the sample air by adopting high sensitivity photovoltaic cell and optimized amplifying circuit. The CO sensor has the characteristics of high sensitivity and quick response. It can detect CO gas of low concentration in the short time. Digital temperature sensor with high performance is applied in temperature detecting module. By adding the measurement parameters using the data fusion technology algorithm based on grey fuzzy neural network, the system has high precision and sensitivity. This system overcomes the weakness of some detecting system which only detects smoke concentration. Results of experiment show that: the detection sensitivities of smoke, CO gas and temperature are 0.005%obs/m, 0.5ppm and 0.1°C. The system can judge a fire occur and give an alarm in 15 seconds.