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INFORMATION OUTPUT DEVICE, LEARNED MODEL GENERATION DEVICE, PROGRAM, LEARNED MODEL, AND OPERATION INDICATION INFORMATION GENERATION METHOD
To consider influence of oscillation applied on a work ship by operation of a heavy machine and oscillation generated on the work ship due to external force such as wave and wind in generation of an operation indication information to the heavy machine for marine civil engineering work on the work ship.SOLUTION: An information processor (10) has a generation part (113) to generate an operation indication information for operating a heavy machine on a first work ship by inputting oscillation property of the first work ship in a state of not executing marine civil engineering work and information showing a specification of the first work ship to a learned model generated by machine learning using information showing a specification of a second work ship on which the heavy machine is placed and an oscillation property of the second work ship in a state of not executing marine civil engineering work and time series data showing operation of the heavy machine on the second work ship.SELECTED DRAWING: Figure 9
【課題】海上土木作業のための作業船上の重機への操作指示情報の生成において、当該重機の動作により作業船に与える動揺と、波、風などの外力により作業船に生ずる動揺との影響を考慮する。【解決手段】情報出力装置(10)は、重機を載置した第2の作業船の仕様を表す情報及び海上土木作業を行っていない状態における当該第2の作業船の動揺特性と、当該第2の作業船上の重機の動作を表す時系列データとを用いた機械学習により生成された学習済モデルに、海上土木作業を行っていない状態の第1の作業船の動揺特性と当該第1の作業船の仕様を表す情報とを入力することにより、第1の作業船上の重機を操作するための操作指示情報を生成する生成部(113)を備える。【選択図】図9
INFORMATION OUTPUT DEVICE, LEARNED MODEL GENERATION DEVICE, PROGRAM, LEARNED MODEL, AND OPERATION INDICATION INFORMATION GENERATION METHOD
To consider influence of oscillation applied on a work ship by operation of a heavy machine and oscillation generated on the work ship due to external force such as wave and wind in generation of an operation indication information to the heavy machine for marine civil engineering work on the work ship.SOLUTION: An information processor (10) has a generation part (113) to generate an operation indication information for operating a heavy machine on a first work ship by inputting oscillation property of the first work ship in a state of not executing marine civil engineering work and information showing a specification of the first work ship to a learned model generated by machine learning using information showing a specification of a second work ship on which the heavy machine is placed and an oscillation property of the second work ship in a state of not executing marine civil engineering work and time series data showing operation of the heavy machine on the second work ship.SELECTED DRAWING: Figure 9
【課題】海上土木作業のための作業船上の重機への操作指示情報の生成において、当該重機の動作により作業船に与える動揺と、波、風などの外力により作業船に生ずる動揺との影響を考慮する。【解決手段】情報出力装置(10)は、重機を載置した第2の作業船の仕様を表す情報及び海上土木作業を行っていない状態における当該第2の作業船の動揺特性と、当該第2の作業船上の重機の動作を表す時系列データとを用いた機械学習により生成された学習済モデルに、海上土木作業を行っていない状態の第1の作業船の動揺特性と当該第1の作業船の仕様を表す情報とを入力することにより、第1の作業船上の重機を操作するための操作指示情報を生成する生成部(113)を備える。【選択図】図9
INFORMATION OUTPUT DEVICE, LEARNED MODEL GENERATION DEVICE, PROGRAM, LEARNED MODEL, AND OPERATION INDICATION INFORMATION GENERATION METHOD
情報出力装置、学習済モデル生成装置、プログラム、学習済モデル、及び操作指示情報生成方法
KOTOURA TAKESHI (author) / KUMAGAI TAKAHIRO (author)
2024-10-04
Patent
Electronic Resource
Japanese
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