Sensor based information integrated safety protection system for live working

doi:10.16265/j.cnki.issn1003-3033.2018.10.013

Abstract

Abstract: In order to effectively ensure the safety of workers during live working, a safety protection system for live working was worked out according to the statistics of unsafe behavior of workers. A video detection device and an ultrasonic ranging sensor are installed at appropriate positions of the tower to quickly detect the distance between the worker and the surrounding crossarm, the tower body and other charged bodies, to determine whether the safety distance is beyond the limit. The parameters of pulse, body temperature, oxygen saturation and electrocardiogram signal of the worker can be detected through the wearable device to identify and warn the safety hazards quickly during the working. And the worker is reminded by auditory way to grasp the abnormal conditions during the operation in real time. The audio and video information on the job site is transmitted to the on-site command unit and the control command center through the 4G wireless network. The results show that the live working safety protection system can avoid the occurrence of safety accidents during live working.

Key words: live working, sensor, ultrasonic rangefinder, safety distance, safety of workers

CLC Number:

X934

LUO Richeng, FANG Mengge, LI Zhiqian, LI Wen, ZOU Dehua, LI Zhe. Sensor based information integrated safety protection system for live working[J]. China Safety Science Journal, 2018, 28(10): 73-78.

References

[1] 胡毅, 刘凯, 彭勇, 等. 带电作业关键技术研究进展与趋势[J]. 高电压技术, 2014,40(7): 1 921-1 931.
HU Yi, LIU Kai, PENG Yong, et al. Research status and development trend of live working key technology[J]. High Voltage Engineering,2014,40(7): 1 921-1 931.
[2] 孙劲光, 刘露, 牛莉霞.习惯性违章行为耦合关联分析模型[J].中国安全科学学报,2017,27(2): 30-35.
SUN Jinguang, LIU Lu, NIU Lixia. Coupling analysis model for habitual violation behavior[J]. China Safety Science Journal,2017,27(2): 30-35.
[3] 季宁, 雒文博.带电作业安全距离红外线警报器的研制与应用[J].湖北电力,2010, 34(6): 11-12.
JI Ning, LUO Wenbo. The development and application of infrared alarm for living working safety distance [J]. Hubei Electric Power, 2010, 34 (6): 11-12.
[4] 丁月明. 高电压现场施工安全距离报警新技术及样机开发研究[D]. 武汉:华中科技大学, 2011.
DING Yueming. A new technology and prototype for construction safety nearly high voltage[D].Wuhan:Huazhong University of Science & Technology, 2011.
[5] 陈硕. 基于多传感器信息融合的移动机器人路径规划研究[D]. 哈尔滨:哈尔滨工程大学, 2012.
CHEN Shuo. Research on multi-sensor information fusion based mobile robot path planning[D]. Harbin:Harbin Engineering University, 2012.
[6] 王登科, 刘淑敏, 王洪磊. 典型工频设备电磁场分布及安全防护对策[J].中国安全科学学报,2016,26(6): 163-168.
WANG Dengke, LIU Shumin, WANG Honglei. Distribution of electromagnetic field of typical power frequency equipment and safety protection measures[J].China Safety Science Journal,2016,26(6): 163-168.
[7] 范军华, 张蔓, 邓曲然,等. 直流电场下安全距离预警系统设计计算[J]. 水电能源科学,2017,35(12):183-185,161.
FAN Junhua,ZHANG Man,DENG Quran,et al. Design and calculation of DC high voltage safety distance warning system based on electric field measurement [J]. Water Resources and Power, 2017,35(12):183-185,161.
[8] 李戈,孟祥杰,王晓华, 等. 国内超声波测距研究应用现状[J]. 测绘科学, 2011,36(4): 60-62.
LI Ge, MENG Xiangjie, WANG Xiaohua, et al. Research and application status on domestic ultrosonic ranging[J].Science of Surveying and Mapping, 2011,36(4): 60-62.
[9] 黄建兵. 超声波精确测距的研究[D]. 南京:南京理工大学,2004.
HUANG Jianbing. The study of measuring distance precisely by ultrasonic[D]. Nanjing: Nanjing University of Science and Technology,2004.
[10] 杨扬.超声波测距仪的研究与设计[J].电子测试,2017(22):28,23.
YANG Yang. Research and design of ultrasonic range finder[J]. Electronic Test, 2017(22):28,23.
[11] 唐俐靳. 视频监控中运动图像检测与测距技术的研究[D]. 西安:西安科技大学, 2010.
TANG Lijin. Research on detection and distance measurement technology of moving target in video image[D]. Xi'an:Xi'an University of Science and Technology, 2010.
[12] 孙凤杰,崔维新,张晋保,等. 远程数字视频监控与图像识别技术在电力系统中的应用[J]. 电网技术,2005(5): 81-84.
SUN Fengjie, CUI Weixin, ZHANG Jinbao, et al. Application of remote digital video monitoring and image recognition technology in power system[J].Power System Technology,2005,29(5): 81-84.
[13] 安省伟. 基于DM8168的无线视频监控系统设计[D].南京:南京邮电大学,2017.
AN Shengwei. The design of wireless video surveillance system based on DM8168[D]. Nanjing:Nanjing University of Posts and Telecommunications, 2017.
[14] 黄永忠. 基于4G网络的无线视频监控系统的设计与实现[D].桂林:广西师范大学,2016.
HUANG Yongzhong. Design and implementation of wireless video surveillance system based on 4G network[D]. Gunlin:Guangxi Normal University,2016.
[15] 陈康.移动端智能视频监控系统的设计与实现[J].绍兴文理学院学报:自然科学版,2016,36(3): 36-42.
CHEN Kang. Design and realization of intelligent video monitoring system of mobile terminal [J]. Journal of Shaoxing University:Natural Science,2016,36(3): 36-42.
[16] 肖开敏,张颜颜,于维海. 穿戴式多生理参数监测系统的研究[J]. 中国医疗设备,2008(11): 131-133.
XIAO Kaimin, ZHANG Yanyan, YU Weihai. Study of a wearable multiple physiological parameter monitoring system [J].China Medical Devices, 2008(11): 131-133.
[17] 张政波,俞梦孙,赵显亮,等. 穿戴式、多参数协同监测系统设计[J]. 航天医学与医学工程,2008,21(1): 66-69
ZHANG Zhengbo, YU Mengsun, ZHAO Xianliang, et al. The design of wearable multi-parameter collaborative monitoring system [J].Space Medicine and Medical Engineering,2008,21(1): 66-69.
[18] 肖东晖, 林立. 电力系统统一视频监控平台解决方案[J]. 电力系统自动化, 2013,37(5): 74-80.
XIAO Donghui, LIN Li. Solution scheme of integrated video surveillance platform of power system[J].Automation of Electric Power Systems,2013,37(5): 74-80.
[19] 黄凯奇,陈晓棠,康运锋,等.智能视频监控技术综述[J].计算机学报,2015,38(6): 1 093-1 118.
HUANG Kaiqi, CHEN Xiaotang, KANG Yunfeng,et al. Intelligent visual sueveillance:a review [J]. Chinese Journal of Computers,2015,38(6): 1 093-1 118.
[20] 路知远. 穿戴式健康监护及人机交互应用中若干关键技术研究[D]. 合肥:中国科学技术大学,2014.
LU Zhiyuan. Research on key techniques of wearable health care and human-computer interaction[D].Hefei: University of Science and Technology of China, 2014.