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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/40211

Title: 智慧型都市排水抽水站即時操作系統之研發
Authors: 黃建霖
徐年盛
魏志強
Contributors: 國立臺灣海洋大學:海洋環境資訊學系
Keywords: 優選
抽水站操作
調適性網路模糊推論系統
禁忌演算法
Date: 2012-09
Issue Date: 2017-01-16T05:58:29Z
Publisher: 農業工程學報
Abstract: 本研究目的為利用人工智慧技術研發都市排水抽水站即時操作之決策模式,以 決定颱風與暴雨事件中排水閘門關閉時期抽水站抽水機組之即時操作方式。本研究 研發ANFIS-HR 及ANFIS-OPT 兩種操作模式,ANFIS-HR 操作模式為利用歷史操作 紀錄結合調適性網路模糊推論系統(ANFIS)來建構模式;ANFIS-OPT 操作模式則為 利用禁忌演算法所優選出歷史事件之最佳操作情況結合ANFIS 來建構模式。本研究 以新北市中港大排為研究區域,並以操作中前池最高水位以及最終水位與標的水位 相差之絕對值來比較兩種操作模式與歷史操作之優劣,結果顯示ANFIS-OPT 操作模 式較ANFIS-HR 操作模式及歷史操作紀錄為佳。
Abstract: The purpose of this study is to apply artificial intelligence techniques to propose the operation decision models, which can decide the real-time operational way of pumping machines in flood events during drainage gate closed period of a pumping station for an urban drainage system. This study develops two operation models, namely ANFIS-HR and ANFIS-OPT. ANFIS-HR is constructed by ANFIS (Adaptive Network-based Fuzzy Inference System) with historical operation records. ANFIS-OPT are constructed by ANFIS with the operation circumstances which are optimized by tabu search in historical events. This study uses Chung-Kong-Da-Pai basin as study area. The comparison variables which are simulated from real case by two operation models are maximum water level (WL) and absolute difference between final WL and target WL of pumping front-pool. Results show that ANFIS-OPT are better than ANFIS-HR and historical operation records.
Relation: 58(3)
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/40211
Appears in Collections:[海洋環境資訊系] 期刊論文

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