A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
ANTIFREEZE SPRAYING CONTROL METHOD AND STATIONARY ANTIFREEZE SPRAYING DEVICE
To propose an antifreeze spraying control method which can accurately determine that a road surface condition in an antifreeze spraying area is in a frozen state which requires spraying of the antifreeze, and can perform an appropriate spraying operation.SOLUTION: A spraying control unit 60 of an antifreeze spraying device 3 performs image recognition of a road surface state by using an image classifier 705 in which a trained model constructed by a convolution neural network or the like is incorporated. A stationary antifreeze spraying device can be realized which allows: the determination of a road surface condition with a practical accuracy; the reliable spraying of an antifreeze agent when the road surface which requires spraying is frozen; the avoidance of performing spraying operations in road surface conditions that do not require spraying; and the performing of spraying operations that can efficiently remove a frozen road surface state.SELECTED DRAWING: Figure 4
【課題】凍結防止剤の散布領域の路面状態が、凍結防止剤の散布が必要とされる凍結状態にあることを精度良く判別し、適切な散布動作を行うことのできる凍結防止剤の散布制御方法を提案すること。【解決手段】凍結防止剤散布装置３の散布機制御部６０は、畳み込みニューラルネットワーク等により構築した学習済みモデルが組み込まれている画像分類器７０５を用いて、路面状態の画像認識を行う。実用可能な精度で路面状態を判別でき、散布が必要な路面凍結状態のときに確実に凍結防止剤の散布を行うことができ、散布が不要な路面状態での散布動作を回避でき、効率良く路面凍結状態を解消可能な散布動作を行う定置式凍結防止剤散布装置を実現できる。【選択図】図４
ANTIFREEZE SPRAYING CONTROL METHOD AND STATIONARY ANTIFREEZE SPRAYING DEVICE
To propose an antifreeze spraying control method which can accurately determine that a road surface condition in an antifreeze spraying area is in a frozen state which requires spraying of the antifreeze, and can perform an appropriate spraying operation.SOLUTION: A spraying control unit 60 of an antifreeze spraying device 3 performs image recognition of a road surface state by using an image classifier 705 in which a trained model constructed by a convolution neural network or the like is incorporated. A stationary antifreeze spraying device can be realized which allows: the determination of a road surface condition with a practical accuracy; the reliable spraying of an antifreeze agent when the road surface which requires spraying is frozen; the avoidance of performing spraying operations in road surface conditions that do not require spraying; and the performing of spraying operations that can efficiently remove a frozen road surface state.SELECTED DRAWING: Figure 4
【課題】凍結防止剤の散布領域の路面状態が、凍結防止剤の散布が必要とされる凍結状態にあることを精度良く判別し、適切な散布動作を行うことのできる凍結防止剤の散布制御方法を提案すること。【解決手段】凍結防止剤散布装置３の散布機制御部６０は、畳み込みニューラルネットワーク等により構築した学習済みモデルが組み込まれている画像分類器７０５を用いて、路面状態の画像認識を行う。実用可能な精度で路面状態を判別でき、散布が必要な路面凍結状態のときに確実に凍結防止剤の散布を行うことができ、散布が不要な路面状態での散布動作を回避でき、効率良く路面凍結状態を解消可能な散布動作を行う定置式凍結防止剤散布装置を実現できる。【選択図】図４
ANTIFREEZE SPRAYING CONTROL METHOD AND STATIONARY ANTIFREEZE SPRAYING DEVICE
凍結防止剤の散布制御方法および定置式凍結防止剤散布装置
NAKAJIMA TADAYOSHI (author) / OTA SHOICHI (author) / KOBAYASHI KAZUKI (author)
2020-09-24
Patent
Electronic Resource
Japanese
IPC:
E01H
STREET CLEANING
,
Reinigen von Straßen
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