基于近红外光谱技术的鱼雷燃料组分含量分析系统

Detection System of Component Content for Torpedo Fuel Based on NIR

分析了现行鱼雷燃料成分测定方法在使用中存在的问题,基于相关的化学计量学和光谱理论研究,提出了将近红外光谱(NIR)技术运用到鱼雷燃料组分含量检测分析的方法。基于选择建模样品集、恢复近红外光谱弱信号以及建立和优化近红外数学模型,建立了软硬件结合的鱼雷动力燃料组分含量NIR分析系统,依据该系统和相关方法,对不同批次和储存状态的鱼雷燃料样本进行了取样化验和成分测定,并与现行方法进行了试验数据对比分析,验证了本系统的准确性和适用性,实现了远程在线分析、车载移动分析和现场应急分析。

This paper analyzes the problems in detecting component content of torpedo fuel with the existing methods. Based on chemometrics and spectral theory, a method for detecting component content of torpedo fuel with near infrared （NIR） spectroscopy is proposed. By selecting modeling sample set, restoring weak NIR signal, and establishing and optimizing near infrared mathematical model, an NIR analysis system of component content for torpedo fuel is devel- oped. With this system and related method, the torpedo fuel samples of different batches and storage states are examined and the components are detected, and the results are compared with the test data from the existing methods. The com- parison verifies the accuracy and feasibility of the proposed detection system. Thus, long-range on-line analysis, mobile analysis on vehicle and emergency analysis on-the-spot are realized with this method.