基于人体体征的作业人员安全预警系统

doi:10.16265/j.cnki.issn1003-3033.2019.09.027

中国安全科学学报 ›› 2019, Vol. 29 ›› Issue (9): 167-172.doi: 10.16265/j.cnki.issn1003-3033.2019.09.027

基于人体体征的作业人员安全预警系统

李稳^1,2,3 工程师, 顾苏¹ 高级工程师, 毛盾^1,2,3 高级工程师, 潘俊文⁴ 工程师, 汪志刚^1,2,3 高级工程师, 梅文建¹

1 国网湖南省电力有限公司输电检修分公司,湖南衡阳 421000;
2 智能带电作业技术及装备(机器人)湖南省重点实验室,湖南长沙 410100;
3 带电巡检与智能作业技术国网公司实验室,湖南长沙 410100;
4 国网湖北省电力有限公司随州供电分公司,湖北随州 441300

收稿日期:2019-05-10 修回日期:2019-07-15 出版日期:2019-09-28 发布日期:2020-10-30
作者简介:李稳 (1990—),男,湖南长沙人,硕士,工程师,主要从事高电压技术、带电作业技术等方面的工作。E-mail:416272905@qq.com。
基金资助:
国家电网公司总部科技项目(5216A0140093);湖南省科技创新平台与人才计划(2016TP1025)。

Safety early warning system for live working considering body signs

LI Wen^1,2,3, GU Su¹, MAO Dun^1,2,3, PAN Junwen⁴, WANG Zhigang^1,2,3, MEI Wenjian¹

1 TransmissionMaintenance Co, Hunan Electric Power Co., Ltd.,State Grid Corporation of China,Hengyang Hunan 421000,China;
2 Hunan Province Key Laboratory of Intelligent Live Working Technology and Equipment (Robot), Changsha Hunan 410100,China;
3 State Grid Co. Laboratory of Live-working Inspection and Intelligent Operation Technology, Changsha Hunan 410100,China;
4 Hubei Electric Power Co., Ltd. Suizhou Power Supply Company, State Grid Corporation of China, Suizhou Hubei 441300,China

Received:2019-05-10 Revised:2019-07-15 Online:2019-09-28 Published:2020-10-30

摘要/Abstract

摘要： 为避免带电作业人员在封闭的屏蔽服中因热应力而引发的事故,基于热应力理论,研发一套基于人体体征的作业人员安全预警系统。首先,分析人体状态参数,并将其设置为预警系统的阈值;然后,提出安全预警方法,并从电源、微处理器、无线上网(WiFi)通信、数据采集、报警等5个模块介绍安全预警系统的设计思路;最后,利用样机进行WiFi通信功能测试、心率检测功能测试以及电磁兼容试验。结果表明:该系统续航能力大于8 h,WiFi通信距离大于15 m,心率误差小于3%,可在300 kV高压环境下正常工作。

关键词: 带电作业, 热应力, 人体体征, 安全预警系统, 心率检测

Abstract: In order to avoid the accidents of working personnel caused by thermal stress in enclosed structure of shielding suit for live operation, a safety early warning system based on body signs was developed based on the thermal stress theory. Firstly, the state parameters of human body were analyzed and set as the threshold of the early warning system. Secondly, the safety warning method was proposed and the design idea was introduced from five module including power supply, microprocessor, Wireless Fidelity(WiFi) communication, data acquisition and alarm. Finally, the WiFi communication function test, the heart rate detecting function test and the high-voltage electric field experiment were carried out by using the sample machine. The results show that the proposed system's endurance capacity is greater than 8 h, that WiFi communication distance is greater than 15 m, that the heart rate error is less than 3%, and that it can work normally under 300 kV high pressure environment.

Key words: live working, thermal stress, body signs, safety early warning system, heart rate test

中图分类号:

X924.3

李稳, 顾苏, 毛盾, 潘俊文, 汪志刚, 梅文建. 基于人体体征的作业人员安全预警系统[J]. 中国安全科学学报, 2019, 29(9): 167-172.

LI Wen, GU Su, MAO Dun, PAN Junwen, WANG Zhigang, MEI Wenjian. Safety early warning system for live working considering body signs[J]. China Safety Science Journal, 2019, 29(9): 167-172.

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基于人体体征的作业人员安全预警系统

Safety early warning system for live working considering body signs

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