Excitation Characteristics Of Gas Sample Of Micro-ICP Excitation Source

With the rapid development of national economy, civil air defense engineering has shifted from the past a combat mission, into a combined with urban construction and people's life, and has produced good economic benefit and combat readiness benefits. But the long and narrow internal structure characteristics of civil air defense works determines the civil air defense engineering fire of great harmfulness. In order to improve the efficiency of fire detection, overcome traditional single sensor of fire detection method, the problem such as not timely, in this paper, using the multi-sensor information fusion technology, a civil air defense project fire detection system is designed.For civil air defense engineering fire characteristics, combining the internal structure of civil air defense works, considering the fire detection processing large amount of information, for the characteristics of fast, this article adopts the PC machine and single-chip microcomputer measurement and control under the combination of a machine structure, using neural network and fuzzy reasoning fusion of intelligent algorithm, with RS485 bus to realize the PC and single chip connection and communication of the fire detection system.This design chooses STC12C5A60S2 single-chip computer as the microprocessor, DS18B20 temperature sensor control, MQ- 5 carbon monoxide sensor, smoke sensor, MQ- 7 of detection unit, responsible for civil air defense engineering testing and pretreatment temperature, smoke and CO information. Complete RS485 with single-chip microcomputer serial interface circuit design and single-chip computer, sensor, and peripheral circuit design. Through the analysis and study of multiple information fusion technology, we design a parallel combination of artificial neural network and fuzzy reasoning of intelligent fusion algorithm. Using MATLAB and V++ mixed hybrid programming method, realized the neural network and fuzzy reasoning algorithm design of neural network and fuzzy reasoningThrough the experimental simulation, this design can achieve the fire detection and alarm, improve the accuracy and timeliness of the fire detection.