摘要
研制出基于MSP430F149单片机和BP神经网络的新型便携式气体浓度检测仪。该仪器首次将单片机与人工神经网络相结合用于气体浓度检测,综合了单片机和人工神经网络的优点,克服了传统仪器气体传感器输出与气体浓度难以线性化等缺点。该仪器具有两种显示模式、声光报警、电压监测、LCD数字显示等功能,具有体积小、灵敏度高、响应时间短、便携、低功耗等特点,能方便实时地检测出现场气体浓度,具有很强的实用性。
A new portable gas quantitative detector is designed. The detector first combines the technology of single chip with the technology of artificial neural network, colligates the strongpoint of single chip and artificial neural network, overcomes the difficulty of linearization between gas sensor output and gas concentration. The detector has the functions of two display mode, sound and light alarm, inspect voltage, LED display and the features of small size, high sensibility, short response, portable, low power etc. It can detect the gas concentration conveniently and in real time. It has high practicality.
出处
《仪表技术与传感器》
CSCD
北大核心
2006年第2期19-20,共2页
Instrument Technique and Sensor
基金
国家863计划资助项目(2004AA302030)
国家十五科技攻关计划项目资助