Development of a multi-component water quality sensor

多组分水质传感器的研制

基本信息

批准号：
10555170
负责人：
NADAOKA Kazuo
金额：
$ 4.03万
依托单位：
Tokyo Institute of Technology
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (B)
财政年份：
1998
资助国家：
日本
起止时间：
1998 至 1999
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-10555170/
关键词：
optical sensor multi-substances optical theory component-resolving estimation inverse estimation Monte Carlo method continuous field measurement in situ measurement 接触型センター

项目摘要

Coastal water may contain various substances like turbid matters discharged from adjacent land area and those like phyto-planktons produced internally with ample nutrients. Therefore existing sensors cannot be applied to precise multi-component estimation, because they are based on a principal assumption that there exists only one component concerned in the water. In this study, for overcoming this difficulty, we have attempted to develop a new type sensor, "multi-component water quality sensor" as follows.l) The new sensor is based on the methodology recently developed by Miyazaki ＆ Nadaoka for remotely sensed image analysis. Since it is for 1-D optical transmission and for the present purpose, on the other hand, a 3-D optical path should be considered, four flux model may not be applied. Therefore, in this study, we have developed a simulation model based on a Monte Carlo method for the optical design of the sensor.2) By performing a laboratory experiment, we have confirmed the fundamental validity of the model in terms of spectral attenuation and scattering characteristics.3) Based on this optical simulation model, we have developed an algorithm to inversely estimate the multi-substance concentration.4) We have examined the fundamental design and specifications of the optical assembly unit, memory unit, and power unit. We have paid special attention on the durability and compactness of the sensor for long-term use in the fields under severe conditions.5) Based on these efforts, we have developed a pilot "multi-component water quality sensor", and confirmed its fundamental performance.

沿海水可能包含各种物质，例如从相邻土地区域排出的浑浊物质，以及诸如内部含有丰富营养物质的phyto-plankton等物质。因此，现有传感器不能应用于精确的多组分估计，因为它们基于一个主要假设，即水中只有一个组成部分。在这项研究中，为了克服这一困难，我们试图开发一种新型传感器，“多组分水质传感器”，如下所示。L）新传感器基于宫崎骏和Nadaoka最近开发的方法，以远程感知的图像分析。由于它是用于1-D光学传输的，因此，对于目前的目的，应考虑一个3-D光学路径，因此不得应用四个通量模型。因此，在这项研究中，我们开发了一种基于蒙特卡洛方法的模拟模型，用于传感器的光学设计。2）通过执行实验室实验，我们确认了该模型在光谱衰减和散射特征方面的基本有效性。3）基于这个光学模拟模型，我们已经开发了一个算法的算法。光组装单元，内存单元和动力单元的规格。我们特别注意传感器在严重条件下长期使用的传感器的耐用性和紧凑性。5）基于这些努力，我们开发了一个“多组分水质传感器”，并确认了其基本性能。