基于物联网的煤矿粉尘监测云服务平台设计
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摘要
针对煤矿粉尘现有检测手段时效性差、人为抽检易失实、不能连续监测等问题,引入物联网和云计算技术,设计并实现了基于物联网的煤矿粉尘监测云服务平台。平台通过集成一体化粉尘监测智能终端、实时粉尘数据采集与传输、粉尘大数据存储与管理、以及应用服务,形成了一种煤矿粉尘监测云服务模式,构建了粉尘大数据中心,提出了粉尘监测云服务应用。通过开发的平台,多级监管部门、企业和作业工人能够实时监测粉尘状态,达成扁平化、非现场实时连续监管的目的,从而提升了整个行业职业病危害监管服务水平。
In order to solve the problem of coal dust with poor dust inspection timeliness,artificial sampling and uncontinuous monitoring,the Internet of Things and cloud computing technology were introduced,and the cloud service platform for coal mine dust monitoring based on the Internet of Things was designed and implemented. Through integration of integrated dust monitoring intelligent terminals,real-time dust data collection and transmission,dust big data storage and management,and application services,the platform has formed a coal mine dust monitoring cloud service model,constructed a dust big data center,and proposed the application of dust monitoring cloud service. Through the application of service platform,multi-level supervision departments,enterprises and workers can monitor dust status in real time,and achieve the purpose of flat,off-site and real-time supervision,thereby improving the supervision service level of the occupational disease hazards in whole industry.
In order to solve the problem of coal dust with poor dust inspection timeliness,artificial sampling and uncontinuous monitoring,the Internet of Things and cloud computing technology were introduced,and the cloud service platform for coal mine dust monitoring based on the Internet of Things was designed and implemented. Through integration of integrated dust monitoring intelligent terminals,real-time dust data collection and transmission,dust big data storage and management,and application services,the platform has formed a coal mine dust monitoring cloud service model,constructed a dust big data center,and proposed the application of dust monitoring cloud service. Through the application of service platform,multi-level supervision departments,enterprises and workers can monitor dust status in real time,and achieve the purpose of flat,off-site and real-time supervision,thereby improving the supervision service level of the occupational disease hazards in whole industry.
引文
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[2]李华炜.煤矿呼吸性粉尘及其综合控制[J].中国安全科学学报,2005(7):67-69.LI Huawei.Comprehensive control of respirable dust in coal mines[J].China Safety Science Journal,2005(7):67-69.
[3]中国政府网.国家职业病防治规划(2016—2020年)[J].安全,2017,38(3):53-56.The Chinese Government Website.National plan for prevention and control of occupational diseases(2016—2020)[J]. Safety,2017,38(3):53-56.
[4]金鹏.浅谈矿井粉尘危害及防治措施[J].山东煤炭科技,2017(2):103-105.JIN Peng. Harm and prevention measures of mine dust[J].Shandong Coal Science and Technology,2017(2):103-105.
[5]王自亮.粉尘浓度传感器的研制和应用[J].工业安全与环保,2006,32(4):24-27.WANG Ziliang.Research and application of dust concentration sensor[J]. Industrial Safety and Environmental Protection,2006,32(4):24-27.
[6]王杰,郑林江.煤矿粉尘职业危害监测技术及其发展趋势[J].煤炭科学技术,2017,45(11):119-125.WANG Jie, ZHENG Linjiang. Development tendency and monitoring technology of dust occupational hazard in coal mine[J].Coal Science and Technology,2017,45(11):119-125.
[7] LEBECKI K,MAACHOWSKI M,SOTYSIAK T. Continuous dust monitoring in headings in underground coal mines[J].Journal of Sustainable Mining,2017,15(4):130-138.
[8] LIU W,MINE X C.Comprehensive integration of gas and coaldust explosion monitoring prevention feasibility study[J].Shandong Coal Science&Technology,2015(1):55-60.
[9] LI J Z,CHENG J,JIN X.Research on industrial field diagnostics and management system based on the Io T[J]. Applied Mechanics&Materials,2011,63/64(10):765-769.
[10] KYUNG Yong R,SEONG Weon C.Management system of occupational diseases in Korea:statistics,report and monitoring system.[J].Journal of Korean Medical Science,2010,25(S1):119-126.
[11] XU G,DING Y,ZHAO J,et al.Research on the Internet of things(Io T)[J].Sensors&Transducers,2013,160(12):463-471.
[12]武奇生.物联网技术与应用[M].北京:机械工业出版社,2016.
[13] YANG Wei,ZHANG Yu,LIU Yang,et al.Constructing of wireless emergency communication system for underground coal mine based on WMN technology[J].Journal of Coal Science and Engineering(China),2010,16(4):441-448.
[14]魏红军.McWiLL宽带无线通信系统在煤炭行业信息化中的应用[J].水力采煤与管道运输,2014(3):91-93.WEI Hongjun. Application of Mc Wi LL broadband wireless communication system in coal industry informatization[J]. Hydraulic Coal Mining&Pipeline Transportation,2014(3):91-93.
[15]庞杰文,谢建林,李川田,等.大采高综采工作面粉尘分布特征研究[J].煤炭科学技术,2017,45(3):78-83.PANG Jiewen,XIE Jianlin,LI Chuantian,et al. Study on dust distribution features of high cutting fully-mechanized coal mining face[J].Coal Science and Technology,2017,45(3):78-83.
[16]马胜利,晋继伟,王晔.综采工作面呼吸性粉尘分布规律研究[J].煤炭技术,2017,10(4):149-152.MA Shengli,JIN Jiwei,WANG Ye. Study on distribution law of respiratory dust in fully-mechanized working face[J].Coal Technology,2017,10(4):149-152.
[17]王思其,姚善化.矿井通信的抗干扰技术分析及其应用[J].煤矿机械,2004,25(10):50-52.WANG Siqi,YAO Shanhua.Anti-jamming technology and its applications to coal mine communication[J].Coal Mine Machinery,2004,25(10):50-52.
[18]陈建武,王婧,李戬,等.作业场所职业危害基础数据标准设计[J].中国安全生产科学技术,2009,5(1):117-120.CHEN Jianwu,WANG Jing,LI Jian,et al. Design of standard on basic data element for occupational hazard in workplace[J].Journal of Safety Science and Technology,2009,5(1):117-120.
[19]胡艳.云计算数据安全与隐私保护[J].科技通报,2013,29(2):212-214.HU Yan.Cloud computing data security and privacy protection[J].Bulletin of Science and Technology,2013,29(2):212-214.
[20] DALAL N S,NEWMAN J,PACK D,et al.Hydroxyl radical generation by coal mine dust:possible implication to coal workers’pneumoconiosis(CWP).[J]. Free Radical Biology&Medicine,1995,18(1):11-20.
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