Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
MACHINE LEARNING DEVICE AND ABNORMALITY IDENTIFICATION DEVICE
To provide a machine learning device and abnormality identification device for automatically determining the rust and corrosion states of ironware installed in a manhole.SOLUTION: A machine learning device that constitutes a learning model for identifying an abnormality in a manhole is provided. A first learning unit out of first to fourth learning units comprises first input data acquisition means 111 for acquiring, as first input data, site photographs containing facilities in the manhole as subjects, first label acquisition means 112 for acquiring, as a first label, results of determination of rust and corrosion states of ironware included in the site photographs containing the facilities in the manhole as the subjects, and first learning model construction means 113 for performing supervised learning using a combination of the first input data and the first label data as teacher data to construct a first learning model for determining the rust and corrosion states of ironware included in a new site photograph containing facilities in a manhole as the subjects.SELECTED DRAWING: Figure 2
【課題】マンホール内に設置される金物の錆や腐食状態を自動で特定する機械学習装置及び異常識別装置を提供する。【解決手段】マンホール内の異常を識別するための学習モデルを構築する機械学習装置であって、第１学習部～第４学習部のうちの第１学習部は、マンホール内の設備を被写体として含む現場写真を第１入力データとして取得する第１入力データ取得手段１１１と、マンホール内の設備を被写体として含む現場写真に含まれる金物の錆・腐食状態の判定結果を第１ラベルとして取得する第１ラベル取得手段１１２と、第１入力データと第１ラベルとの組を教師データとして教師あり学習を行うことにより、マンホール内の設備を被写体として含む新たな現場写真に含まれる金物の錆・腐食状態を判定するための第１学習モデルを構築する第１学習モデル構築手段１１３と、を備える。【選択図】図２
MACHINE LEARNING DEVICE AND ABNORMALITY IDENTIFICATION DEVICE
To provide a machine learning device and abnormality identification device for automatically determining the rust and corrosion states of ironware installed in a manhole.SOLUTION: A machine learning device that constitutes a learning model for identifying an abnormality in a manhole is provided. A first learning unit out of first to fourth learning units comprises first input data acquisition means 111 for acquiring, as first input data, site photographs containing facilities in the manhole as subjects, first label acquisition means 112 for acquiring, as a first label, results of determination of rust and corrosion states of ironware included in the site photographs containing the facilities in the manhole as the subjects, and first learning model construction means 113 for performing supervised learning using a combination of the first input data and the first label data as teacher data to construct a first learning model for determining the rust and corrosion states of ironware included in a new site photograph containing facilities in a manhole as the subjects.SELECTED DRAWING: Figure 2
【課題】マンホール内に設置される金物の錆や腐食状態を自動で特定する機械学習装置及び異常識別装置を提供する。【解決手段】マンホール内の異常を識別するための学習モデルを構築する機械学習装置であって、第１学習部～第４学習部のうちの第１学習部は、マンホール内の設備を被写体として含む現場写真を第１入力データとして取得する第１入力データ取得手段１１１と、マンホール内の設備を被写体として含む現場写真に含まれる金物の錆・腐食状態の判定結果を第１ラベルとして取得する第１ラベル取得手段１１２と、第１入力データと第１ラベルとの組を教師データとして教師あり学習を行うことにより、マンホール内の設備を被写体として含む新たな現場写真に含まれる金物の錆・腐食状態を判定するための第１学習モデルを構築する第１学習モデル構築手段１１３と、を備える。【選択図】図２
MACHINE LEARNING DEVICE AND ABNORMALITY IDENTIFICATION DEVICE
機械学習装置及び異常識別装置
MIMA KENJI (Autor:in) / KISE SHINICHI (Autor:in) / FUJIWARA KAHIKI (Autor:in)
27.07.2022
Patent
Elektronische Ressource
Japanisch
IPC:
G06T
Bilddatenverarbeitung oder Bilddatenerzeugung allgemein
,
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
/
E02D
FOUNDATIONS
,
Gründungen
/
E03F
SEWERS
,
Abwasserkanäle
/
G01N
Untersuchen oder Analysieren von Stoffen durch Bestimmen ihrer chemischen oder physikalischen Eigenschaften
,
INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
/
G06N
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
,
Rechnersysteme, basierend auf spezifischen Rechenmodellen
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