首页> 外国专利> INTELLIGENT WEARABLE DANGER STATE DETERMINATION APPARATUS USING COMPOSITE ENVIRONMENT MEASUREMENT AND METHOD THEREOF

INTELLIGENT WEARABLE DANGER STATE DETERMINATION APPARATUS USING COMPOSITE ENVIRONMENT MEASUREMENT AND METHOD THEREOF

机译:使用复合环境测量的智能可穿戴危险状态测定装置及其方法

摘要

The present invention relates to an intelligent wearable composite environment measurement apparatus and a method thereof. According to the present invention, the intelligent wearable danger state determination apparatus using composite environment measurement comprises: a sensor unit including a detachable gas sensor to measure the concentration of gas around a work environment, an acceleration sensor and a gyro sensor to measure the motion and balance state of a worker, and a camera to photograph the environment around the worker; a harmful state determination unit to determine a harmful state status around the worker from the measured concentration of gas; a learning unit to apply measurement values of the acceleration sensor and the gyro sensor attached to the worker, a photographed image of the camera, and whether the worker falls by a floor on which the worker is positioned to a machine learning technique to generate a learning model; a fall determination unit to apply a measurement value of the gyro sensor, a measurement value of the acceleration sensor, pixel change values of a photographed image, and the floor on which the worker is currently positioned to the learning model to determine whether the worker falls; an output unit to output harmful state information of the work environment and information on whether the worker falls through a display; and a control unit to transfer the harmful state information of the work environment and the information on whether the worker falls to other workers or a control center via a network.;COPYRIGHT KIPO 2020
机译:智能可穿戴复合环境测量装置及其方法技术领域本发明涉及一种智能可穿戴复合环境测量装置及其方法。根据本发明,使用复合环境测量的智能可穿戴危险状态确定装置包括:传感器单元,包括可拆卸的气体传感器以测量工作环境周围的气体浓度;加速度传感器和陀螺仪传感器以测量运动和运动。平衡工人的状态,以及用于拍摄工人周围环境的照相机;有害状态确定单元,用于根据所测量的气体浓度来确定工人周围的有害状态;学习单元,将附于工人的加速度传感器和陀螺仪传感器的测量值,照相机的拍摄图像以及工人是否跌落到工人所坐的地板上,以应用机器学习技术进行学习模型;跌倒确定单元,将陀螺仪传感器的测量值,加速度传感器的测量值,拍摄图像的像素变化值以及工人当前所处的地板应用于学习模型,以确定工人是否跌倒;输出单元,其通过显示器输出工作环境的有害状态信息和有关工人是否跌倒的信息; COPYRIGHT KIPO 2020;以及控制单元,用于通过网络将工作环境的有害状态信息以及有关该工人是否属于其他工人或控制中心的信息传输。

著录项

  • 公开/公告号KR102123008B1

    专利类型

  • 公开/公告日2020-06-15

    原文格式PDF

  • 申请/专利权人 JUN CHAN HEE;

    申请/专利号KR20190104518

  • 发明设计人 JUN CHAN HEEKR;

    申请日2019-08-26

  • 分类号G08B21/04;G01C19;G08B21/12;G08B25/14;

  • 国家 KR

  • 入库时间 2022-08-21 11:04:27

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