Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
UNDER-GIRDER WATER LEVEL PREDICTION DEVICE, UNDER-GIRDER WATER LEVEL PREDICTION METHOD, UNDER-GIRDER WATER LEVEL PREDICTION PROGRAM, AND LEARNED MODEL
To accurately predict an under-girder water level after a predetermined time, with respect to the under-girder water level of a bridge constructed over a river.SOLUTION: An under-girder water level prediction device includes: an under-girder water level acquisition unit 21 for acquiring an under-girder water level; a basin water level acquisition unit 22 for acquiring a water level in a river basin, which is a water level at a measurement point in the river basin; a learning device 23 for generating a learned model 36 for predicting an under-girder water level after a predetermined time using respective basin water levels measured at a predetermined point of time at multiple measurement points and under-girder water levels at the measurement time as a set of learning input data 34 by machine learning using the multiple sets of learning input data 34 with different measurement times; and an under-girder water level prediction unit 25 for predicting the under-girder water level at a predetermined point of time after the predetermined time by inputting at least one of the basin water level at the respective measurement points at the predetermined point of time and the under-girder water level at the predetermined point of time into the learned model 36.SELECTED DRAWING: Figure 2
【課題】河川に設けられた橋梁の桁下水位について、所定時間後の桁下水位を精度良く予測することを目的とする。【解決手段】桁下水位を取得する桁下水位取得部２１と、河川の流域の計測地点における水位である流域水位を取得する流域水位取得部２２と、複数の計測地点において所定の計測時刻に計測されたそれぞれの流域水位および計測時刻に計測された桁下水位を一組の学習用入力データ３４として、計測時刻の異なる複数組の学習用入力データ３４を用いて機械学習させることにより、所定時間後の桁下水位を予測するための学習済みモデル３６を生成する学習装置２３と、所定時刻におけるそれぞれの計測地点の流域水位および所定時刻における桁下水位のうちの少なくとも一方を学習済みモデル３６に入力して、所定時刻より所定時間後の桁下水位を予測する桁下水位予測部２５とを備える。【選択図】図２
UNDER-GIRDER WATER LEVEL PREDICTION DEVICE, UNDER-GIRDER WATER LEVEL PREDICTION METHOD, UNDER-GIRDER WATER LEVEL PREDICTION PROGRAM, AND LEARNED MODEL
To accurately predict an under-girder water level after a predetermined time, with respect to the under-girder water level of a bridge constructed over a river.SOLUTION: An under-girder water level prediction device includes: an under-girder water level acquisition unit 21 for acquiring an under-girder water level; a basin water level acquisition unit 22 for acquiring a water level in a river basin, which is a water level at a measurement point in the river basin; a learning device 23 for generating a learned model 36 for predicting an under-girder water level after a predetermined time using respective basin water levels measured at a predetermined point of time at multiple measurement points and under-girder water levels at the measurement time as a set of learning input data 34 by machine learning using the multiple sets of learning input data 34 with different measurement times; and an under-girder water level prediction unit 25 for predicting the under-girder water level at a predetermined point of time after the predetermined time by inputting at least one of the basin water level at the respective measurement points at the predetermined point of time and the under-girder water level at the predetermined point of time into the learned model 36.SELECTED DRAWING: Figure 2
【課題】河川に設けられた橋梁の桁下水位について、所定時間後の桁下水位を精度良く予測することを目的とする。【解決手段】桁下水位を取得する桁下水位取得部２１と、河川の流域の計測地点における水位である流域水位を取得する流域水位取得部２２と、複数の計測地点において所定の計測時刻に計測されたそれぞれの流域水位および計測時刻に計測された桁下水位を一組の学習用入力データ３４として、計測時刻の異なる複数組の学習用入力データ３４を用いて機械学習させることにより、所定時間後の桁下水位を予測するための学習済みモデル３６を生成する学習装置２３と、所定時刻におけるそれぞれの計測地点の流域水位および所定時刻における桁下水位のうちの少なくとも一方を学習済みモデル３６に入力して、所定時刻より所定時間後の桁下水位を予測する桁下水位予測部２５とを備える。【選択図】図２
UNDER-GIRDER WATER LEVEL PREDICTION DEVICE, UNDER-GIRDER WATER LEVEL PREDICTION METHOD, UNDER-GIRDER WATER LEVEL PREDICTION PROGRAM, AND LEARNED MODEL
桁下水位予測装置、桁下水位予測方法、桁下水位予測プログラム、および学習済みモデル
TAKEUCHI SUGURU (Autor:in) / HORII YOSHIHIRO (Autor:in) / MIYAZAKI YUSUKE (Autor:in) / OKINAKA YAMATO (Autor:in) / MATSUDA ATSUSHI (Autor:in)
24.05.2022
Patent
Elektronische Ressource
Japanisch
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