Escuela Técnica superior de Ingeniería y Sistemas de Telecomunicación, Universidad Politécnica de Madrid, 28031 Madrid, Spain.
Complex Systems Group, Universidad Politécnica de Madrid, 28040 Madrid, Spain.
Sensors (Basel). 2020 May 30;20(11):3102. doi: 10.3390/s20113102.
Development of contaminant detection systems in various natural and industrial environments has been favored in recent years thanks to the evolution of processors and sensors. Our group works specifically on contaminant detection systems in inland waters: immediate and continuous detection is a fundamental requirement in this type of sensing. Regarding the sensors, the proposed system is based on fluorescence, since it offers a method in which there is no contact with water, which means less wear on the components and a great saving in cleaning and maintenance. On the other hand, the spectrum processing is of great importance, since it is used both in the generation of a library of fluorescence spectra taken in the laboratory and in the continuous analysis of the samples and in the comparison algorithm for identification. The validity of the system is based on the last process that is carried out in a very short time. This article describes a system to process spectra in a more accelerated way.
近年来,得益于处理器和传感器的发展,各种自然和工业环境中的污染物检测系统得到了快速发展。我们的研究小组专门研究内陆水域中的污染物检测系统:即时和连续检测是这种传感类型的基本要求。在传感器方面,所提出的系统基于荧光,因为它提供了一种与水无接触的方法,这意味着部件的磨损更少,并且在清洁和维护方面有很大的节省。另一方面,光谱处理非常重要,因为它既用于在实验室中采集的荧光光谱库的生成,也用于连续分析样品和用于识别的比较算法。该系统的有效性基于最后一个在很短时间内完成的过程。本文介绍了一种更快速地处理光谱的系统。