首页> 外国专利> APPARATUS AND METHOD FOR SPRAYING WATER BASED ON IMAGE RECOGNITION FOR FINE DUST REDUCTION AT CONSTRUCTION SITE

APPARATUS AND METHOD FOR SPRAYING WATER BASED ON IMAGE RECOGNITION FOR FINE DUST REDUCTION AT CONSTRUCTION SITE

机译:基于图像识别的工地精细降尘喷雾装置及方法

摘要

The present invention relates to an apparatus and method for spraying water based on image recognition for fine dust reduction at a construction site. The apparatus for spraying water comprises: an image camera module consisting of one or more image sensors; an image recognition module receiving an image signal from the image camera module to recognize construction machinery equipment in real time, tracking the location of the construction machinery equipment, and determining a dust generation situation of the construction machinery equipment; a water spraying control module receiving a data signal for location coordinates of the construction machinery equipment and spatial coordinates of a dust source through the image recognition module to control the water spraying driving unit of the water spraying apparatus; and a water spraying driving unit controlled by the water spraying control module to spray water to the spatial coordinates of the dust source of the construction machinery equipment, thereby recognizing the construction machinery equipment at a construction site to track the dust source or a scattering dust source and accurately spray water to the source.;COPYRIGHT KIPO 2020
机译:基于图像识别的喷水设备和方法技术领域本发明涉及一种基于图像识别的喷水设备和方法,用于在建筑工地减少细粉尘。所述喷水装置包括:由一个或多个图像传感器组成的图像相机模块;图像识别模块从图像摄像机模块接收图像信号,以实时识别工程机械设备,跟踪工程机械设备的位置,并确定工程机械设备的扬尘情况;喷水控制模块通过图像识别模块接收用于工程机械设备的位置坐标和粉尘源的空间坐标的数据信号,以控制喷水设备的喷水驱动单元;通过喷水控制模块控制的喷水驱动单元,将水喷洒到工程机械设备的粉尘源的空间坐标上,从而识别出施工现场的工程机械设备以跟踪粉尘源或散布粉尘源。并向源头准确喷水。; COPYRIGHT KIPO 2020

著录项

  • 公开/公告号KR102090469B1

    专利类型

  • 公开/公告日2020-03-18

    原文格式PDF

  • 申请/专利权人 KCTENC CO. LTD.;

    申请/专利号KR20190138104

  • 申请日2019-10-31

  • 分类号B05B12/12;B05B12;B05B13;B08B15;B08B3/02;E04G21/24;E04G21/32;G06Q50/08;H04N5/232;

  • 国家 KR

  • 入库时间 2022-08-21 11:05:05

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