A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
WATER-INTAKE FACILITY MANAGEMENT SYSTEM, AND WATER-INTAKE FACILITY MANAGEMENT METHOD
To detect overflow in a dam and a water-intake facility in advance to securely prevent generation of overflow electric power.SOLUTION: A water-intake facility management system managing a water-intake facility comprising a first screen for removing dust provided in a water-intake port for taking-in water used for water power generation from a dam: generates a first prediction model that is a machine learning model which learns time-series data of each of a water level of the dam, a water level of a water passage guiding water taken-in through the water-intake port to a water power plant, and an opening degree of a gate controlling an inflow amount of the water taken-in from the dam into the water passage as explanatory variables, and information exhibiting possibility of overflow from the dam as objective variables; and inputs newly acquired explanatory variables into the first prediction model, to output acquired objective variables. The first prediction model, further, outputs information exhibiting prediction time when overflow from the dam starts, as objective variables.SELECTED DRAWING: Figure 3
【課題】ダムや取水設備における越流を未然に検知し、溢水電力の発生を確実に防ぐ。【解決手段】ダムから水力発電に用いる水を取水するための取水口に設けられた、塵芥除去のための第１スクリーンを備えた取水設備を管理する取水設備管理システムが、ダムの水位、取水口から取水した水を水力発電所に導く水路の水位、およびダムから取水した水の水路への流入量を制御するゲートの開度、の夫々についての時系列データを説明変数とし、ダムからの越流の可能性を示す情報を目的変数として学習した機械学習モデルである第１予測モデルを生成し、新たに取得した説明変数を第１予測モデルに入力することにより目的変数を求めて出力する。第１予測モデルは、更にダムからの越流が開始する予測時刻を示す情報を目的変数として出力する。【選択図】図３
WATER-INTAKE FACILITY MANAGEMENT SYSTEM, AND WATER-INTAKE FACILITY MANAGEMENT METHOD
To detect overflow in a dam and a water-intake facility in advance to securely prevent generation of overflow electric power.SOLUTION: A water-intake facility management system managing a water-intake facility comprising a first screen for removing dust provided in a water-intake port for taking-in water used for water power generation from a dam: generates a first prediction model that is a machine learning model which learns time-series data of each of a water level of the dam, a water level of a water passage guiding water taken-in through the water-intake port to a water power plant, and an opening degree of a gate controlling an inflow amount of the water taken-in from the dam into the water passage as explanatory variables, and information exhibiting possibility of overflow from the dam as objective variables; and inputs newly acquired explanatory variables into the first prediction model, to output acquired objective variables. The first prediction model, further, outputs information exhibiting prediction time when overflow from the dam starts, as objective variables.SELECTED DRAWING: Figure 3
【課題】ダムや取水設備における越流を未然に検知し、溢水電力の発生を確実に防ぐ。【解決手段】ダムから水力発電に用いる水を取水するための取水口に設けられた、塵芥除去のための第１スクリーンを備えた取水設備を管理する取水設備管理システムが、ダムの水位、取水口から取水した水を水力発電所に導く水路の水位、およびダムから取水した水の水路への流入量を制御するゲートの開度、の夫々についての時系列データを説明変数とし、ダムからの越流の可能性を示す情報を目的変数として学習した機械学習モデルである第１予測モデルを生成し、新たに取得した説明変数を第１予測モデルに入力することにより目的変数を求めて出力する。第１予測モデルは、更にダムからの越流が開始する予測時刻を示す情報を目的変数として出力する。【選択図】図３
WATER-INTAKE FACILITY MANAGEMENT SYSTEM, AND WATER-INTAKE FACILITY MANAGEMENT METHOD
取水設備管理システム、および取水設備管理方法
KATAYAMA HIROSHI (author)
2023-02-16
Patent
Electronic Resource
Japanese
IPC:
E02B
HYDRAULIC ENGINEERING
,
Wasserbau
/
G06N
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
,
Rechnersysteme, basierend auf spezifischen Rechenmodellen
/
G06Q
Datenverarbeitungssysteme oder -verfahren, besonders angepasst an verwaltungstechnische, geschäftliche, finanzielle oder betriebswirtschaftliche Zwecke, sowie an geschäftsbezogene Überwachungs- oder Voraussagezwecke
,
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES
Nacimiento Water Project Intake Facility
| British Library Conference Proceedings | 2007