Development of an Artificial Intelligence-assisted System for Water Quality Monitoring

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  • FURUYAMA Shoichi
    Department of Electronics and Computer Engineering, National Institute of Technology (NIT) Toyama College Japan
  • FUJISHIMA Masaki
    Advanced Cource of Control Information System Engineering, National Institute of Technology (NIT) Toyama College Japan
  • TAKEUCHI Katsuki
    Department of Electronics and Computer Engineering, National Institute of Technology (NIT) Toyama College Japan
  • NAGAI Takashi
    Kyoritsu Chemical-Check Lab., Corp., Japan
  • OKUMURA Hiroshi
    Kyoritsu Chemical-Check Lab., Corp., Japan

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Other Title
  • 人工知能サーバと連携した水質測定システムの構築
  • ジンコウ チノウ サーバ ト レンケイ シタ スイシツ ソクテイ システム ノ コウチク

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Description

<p>To simplify a water quality survey using colorimetry, an application that determines the concentration using a smart device, such as a smartphone, was developed. To use AI technology makes it possible to remove a jig to block the effects of external light and to avoid creating a color-concentration calibration curve. Also, instead of measuring the concentration on each smart device, it was decided to perform concentration determination using an AI server built on a network. In this way, to minimize the function of the application installed on each device and to eliminate the model dependency as much as possible were tried. Furthermore, by acquiring and storing observation location information simultaneously, the system was shown to be an effective water quality investigation system for wide-area environmental investigation.</p>

Journal

  • BUNSEKI KAGAKU

    BUNSEKI KAGAKU 68 (7), 491-496, 2019-07-05

    The Japan Society for Analytical Chemistry

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