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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.

沿海水域可能含有各种物质，比如从邻近陆地排放的浑浊物质，以及那些在体内产生的营养丰富的浮游植物。因此，现有的传感器不能应用于精确的多组分估计，因为它们是基于一个基本假设，即水中只存在一个相关的组分。在这项研究中，为了克服这一困难，我们尝试开发了一种新型传感器--多分量水质传感器，具体如下：l)这种新型传感器基于Miyazaki&Nadaoka最近开发的遥感图像分析方法。由于它是用于一维光传输的，而对于目前的目的，另一方面，必须考虑三维光路，所以可能不使用四通量模型。因此，在本研究中，我们开发了一种基于蒙特卡罗方法的传感器光学设计仿真模型。2)通过实验室实验，从光谱衰减和散射特性方面证实了该模型的基本有效性。3)基于该光学仿真模型，我们开发了一种多物质浓度的逆估计算法。4)我们研究了光学组件单元、存储单元和电源单元的基本设计和技术指标。5)在此基础上，研制了中试的“多组分水质传感器”，并对其基本性能进行了验证。