A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
REINFORCED CONCRETE MEMBER DISCRIMINATION SYSTEM AND REINFORCED CONCRETE MEMBER DISCRIMINATION PROGRAM
To precisely discriminate degradation situations of a reinforced concrete member 7 by analyzing inspection data by artificial intelligence.SOLUTION: An embodiment causes a computer to execute: a first association degree acquisition step for acquiring, in advance, 3 or more stages of a first association degree between past inspection data of the reinforced concrete member 7 and discrimination results of degradation situations of the reinforced concrete member 7 for the inspection data; a first input step for inputting inspection data obtained by newly inspecting the reinforced concrete member 7 to discriminate the degradation situation; and a first discrimination step for discriminating the degradation situation of the reinforced concrete member 7 by reference to the first association degree obtained in the first association degree acquisition step and on the basis of the inspection data input in the first input step.SELECTED DRAWING: Figure 1
【課題】検査データを人工知能により解析することで、鉄筋コンクリート部材７の劣化状況の判別を高精度に行う。【解決手段】鉄筋コンクリート部材７に対する過去の検査データと、当該検査データに対する鉄筋コンクリート部材７の劣化状況の判別結果との３段階以上の第１連関度を予め取得する第１連関度取得ステップと、新たに劣化状況を判別する鉄筋コンクリート部材７に対して検査を行うことにより得られた検査データを入力する第１入力ステップと、上記第１連関度取得ステップにおいて取得した第１連関度を参照し、上記第１入力ステップにおいて入力した検査データに基づいて、鉄筋コンクリート部材７の劣化状況を判別する第１判別ステップとをコンピューターに実行させることを特徴とする。【選択図】図１
REINFORCED CONCRETE MEMBER DISCRIMINATION SYSTEM AND REINFORCED CONCRETE MEMBER DISCRIMINATION PROGRAM
To precisely discriminate degradation situations of a reinforced concrete member 7 by analyzing inspection data by artificial intelligence.SOLUTION: An embodiment causes a computer to execute: a first association degree acquisition step for acquiring, in advance, 3 or more stages of a first association degree between past inspection data of the reinforced concrete member 7 and discrimination results of degradation situations of the reinforced concrete member 7 for the inspection data; a first input step for inputting inspection data obtained by newly inspecting the reinforced concrete member 7 to discriminate the degradation situation; and a first discrimination step for discriminating the degradation situation of the reinforced concrete member 7 by reference to the first association degree obtained in the first association degree acquisition step and on the basis of the inspection data input in the first input step.SELECTED DRAWING: Figure 1
【課題】検査データを人工知能により解析することで、鉄筋コンクリート部材７の劣化状況の判別を高精度に行う。【解決手段】鉄筋コンクリート部材７に対する過去の検査データと、当該検査データに対する鉄筋コンクリート部材７の劣化状況の判別結果との３段階以上の第１連関度を予め取得する第１連関度取得ステップと、新たに劣化状況を判別する鉄筋コンクリート部材７に対して検査を行うことにより得られた検査データを入力する第１入力ステップと、上記第１連関度取得ステップにおいて取得した第１連関度を参照し、上記第１入力ステップにおいて入力した検査データに基づいて、鉄筋コンクリート部材７の劣化状況を判別する第１判別ステップとをコンピューターに実行させることを特徴とする。【選択図】図１
REINFORCED CONCRETE MEMBER DISCRIMINATION SYSTEM AND REINFORCED CONCRETE MEMBER DISCRIMINATION PROGRAM
鉄筋コンクリート部材の判別システム及び鉄筋コンクリート部材の判別プログラム
IKEDA HIROYUKI (author) / KUMAGAI SHINICHIRO (author) / NOJIMA SHOJI (author) / SHOJI AKIO (author) / WATASE HIROSHI (author) / TAKAHASHI KENICHI (author)
2019-09-19
Patent
Electronic Resource
Japanese
| European Patent Office | 2019
| European Patent Office | 2019
| European Patent Office | 2019