首页> 外国专利> INTELLIGENT WEARABLE DANGEROUS STATE DETERMINATION DEVICE USING COMPLEX ENVIRONMENT MEASUREMENT, AND METHOD THEREFOR

INTELLIGENT WEARABLE DANGEROUS STATE DETERMINATION DEVICE USING COMPLEX ENVIRONMENT MEASUREMENT, AND METHOD THEREFOR

机译:智能可穿戴危险状态测定装置使用复杂环境测量和其中的方法

摘要

The present invention relates to an intelligent wearable complex environment measuring device, and a method therefor. An intelligent wearable dangerous state determination device using complex environment measurement, according to the present invention, comprises: a sensor unit comprising a detachable gas sensor capable of measuring the concentration of gas around a work environment, a gyro sensor and an acceleration sensor capable of measuring a balance state and motion of a worker, and a camera for photographing the surrounding environment of the worker; a hazardous state determination unit for determining, from the measured concentration of the gas, whether there is a hazardous state around the worker; a learning unit for generating a learning model by applying, to a machine learning technique, measurement values of the gyro sensor and the acceleration sensor attached to the worker, a photographed image of the camera, and whether the worker falls according to a floor on which the worker is located; a fall determination unit for determining whether the worker falls, by applying, to the learning model, the measurement value of the gyro sensor, the measurement value of the acceleration sensor, a pixel change value of the photographed image, and a floor on which the worker is currently located; an output unit for outputting, through a display, hazardous state information of the work environment and information on whether the worker falls; and a control unit for transmitting, to other workers or a control center through a network, the hazardous state information of the work environment and the information on whether the worker falls.
机译:本发明涉及一种智能可穿戴式复合环境测量装置,以及其方法。根据本发明的使用复杂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,该传感器单元包括可拆卸的气体传感器,该空气传感器能够测量工作环境周围的气体浓度,陀螺仪传感器和能够测量的加速度传感器工人的平衡状态和运动,以及拍摄工作人员周围环境的相机;危险状态确定单元,用于从测量的气体浓度确定工人周围存在危险状态;一种学习单元,用于通过应用到机器学习技术,陀螺仪传感器的测量值和附接到工作人员的加速度传感器的学习单元,相机的拍摄图像,以及工人是否根据该地板落下工人所在;用于确定工作人员是否通过施加到学习模型来确定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的落区和地板工人目前位于;通过显示工作环境的显示,危险状态信息和有关工人是否下降的信息的输出单元;和通过网络将其他工人或控制中心发送到其他工人或控制中心的控制单元,工作环境的危险状态信息和关于工人是否落下的信息。

著录项

  • 公开/公告号WO2021040126A1

    专利类型

  • 公开/公告日2021-03-04

    原文格式PDF

  • 申请/专利权人 JUN CHAN HEE;

    申请/专利号WO2019KR13719

  • 发明设计人 JUN CHAN HEE;

    申请日2019-10-18

  • 分类号G08B21/04;G08B21/12;G08B25/14;G06N20;G01C19;G01P15;G01N33;

  • 国家 KR

  • 入库时间 2022-08-24 17:32:26

相似文献

  • 专利
  • 外文文献
  • 中文文献
获取专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号