K平均法およびPLS回帰分析を用いた運転ノウハウの抽出による運転支援の為の上水送水系運転システム

カテゴリ: 論文誌(論文単位)

グループ名: 【D】産業応用部門

発行日: 2014/03/01

タイトル(英語): Knowledge Acquisition from In-Operation Data for Water Supply Systems using PLS Regression and K-Means Method

著者名: 松木　洋（横浜国立大学），藤本　康孝（横浜国立大学）

著者名(英語): Hiroshi Matsuki (Yokohama National University), Yasutaka Fujimoto (Yokohama National University)

キーワード: 上水送水系，運転計画，PLS回帰分析，K平均法　　water plant，operation planning，parcial least squares，K-means

要約(英語): This study investigates the scheduling of water flow between water treatment plants and distribution reservoirs. We aim to reproduce the performance of an experienced operator for a water supply system. The steering groups of water supply systems face problems due to the decreasing number of experienced operators. Without the expertise of experienced operators, it is difficult to carry out operations in a safe and stable manner. For this purpose, regression analysis using Partial Least Squares was applied to reproduce the performance of an experienced operator. In addition, the k-means method was applied to cluster predictors for regression analysis. Experimental results show that the root-mean-square values for the reservoir water level obtained using the proposed method were smaller than those obtained using a conventional method and our previously proposed method. Thus, we confirmed that the proposed method is able to acquire operation knowledge from experienced operators, and un-skilled operators can use this data to regenerate an operation plan. This method is expected to compensate for the decrease in the number of experienced operators.

本誌: 電気学会論文誌D（産業応用部門誌） Vol.134 No.3 （2014） 特集：産業計測自動制御，メカトロニクス制御

本誌掲載ページ: 301-307 p

原稿種別: 論文／日本語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejias/134/3/134_301/_article/-char/ja/