火焰光谱数据采集与分析系统的设计与开发
Design and development of flame spectrum data acquisition and analysis system
孙赫 1郝宪锋 1戴永寿2
作者信息
- 1. 中国石油大学(华东)控制科学与工程学院,青岛,266580
- 2. 中国石油大学(华东)海洋与空间信息学院,青岛,266580
- 折叠
摘要
为了在复杂多变的环境中采集到火焰光谱数据并从中提取出稳定性高、一致性好的火焰光谱特征,设计了一套火焰光谱数据采集与分析系统,从而为研发火焰模拟器提供更可靠的设计指标.首先,系统采用探测波段分别为3.8 μm、4.4 μm、5.0 pm、185 nm～260 nm的红/紫外传感器作为信号采集端,并设计了滤波放大电路,再利用微控制器对信号进行A/D转换,实现了对光谱数据的采集;其次,提出采用频段解耦的方法来分析光谱数据,将每个探测波段上的光谱数据分解为真实火焰光谱数据和干扰光源光谱数据,根据解耦后的光谱数据进行计算;最后,提取出了五个火焰光谱特征.实验结果表明,利用该系统提取出的火焰光谱特征可靠性更高,对火焰模拟器的设计具有重要参考价值.
Abstract
A flame spectrum data acquisition and analysis system is designed to collect flame spectrum data in complex and dynamic environments and extract flame spectrum characteristics with high stability and consistency.This system aims to provide more reliable design parameters for developing flame simulators.Firstly,red/ultraviolet sensors with detection bands at 3.8 μm,4.4 pm,5.0 pm,and 185 nm～260 nm are utilized as signal acquisition terminals along with the design of filter and amplifier circuits.Secondly,a frequency decoupling method is proposed for spectral data analysis based on microcontroller A/D conversion of signals.The spectral data from each detection band are decomposed into real flame spectral data and interference spectral data using this method,which enables calculation based on the decoupled spectral data.Finally,five flame spectral features are extracted from the analyzed results obtained by this system.Experimental results demonstrate that these extracted flame spectrum features exhibit higher reliability and possess significant reference values for designing flame simulators.
关键词
火焰光谱数据采集/火焰光谱特征提取/滤波放大/频段解耦/稳定性/一致性Key words
Flame spectrum data collection/Extraction of flame spectral features/Filter amplification/Frequency band decoupling/Stability/Uniformity引用本文复制引用
出版年
2024
NETL
NSTL
万方数据