[1]袁雄军,王洪元,王 军,等.粉尘在线监测与事故预警系统关键技术研发[J].常州大学学报(自然科学版),2018,30(01):35-42.[doi:10.3969/j.issn.2095-0411.2018.01.006]
 YUAN Xiongjun,WANG Hongyuan,WANG Jun,et al.Key Technology Research and Development of Dust On-Line Monitoring and Accident Warning System[J].Journal of Changzhou University(Natural Science Edition),2018,30(01):35-42.[doi:10.3969/j.issn.2095-0411.2018.01.006]
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粉尘在线监测与事故预警系统关键技术研发()
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常州大学学报(自然科学版)[ISSN:2095-0411/CN:32-1822/N]

卷:
第30卷
期数:
2018年01期
页码:
35-42
栏目:
安全工程
出版日期:
2018-01-28

文章信息/Info

Title:
Key Technology Research and Development of Dust On-Line Monitoring and Accident Warning System
作者:
袁雄军12王洪元3王 军3张慎昊4
1.常州大学 环境与安全工程学院,江苏 常州 213164; 2.中国矿业大学 安全工程学院,江苏 徐州 221116; 3.常州大学 信息科学与工程学院,江苏 常州 213164; 4.常熟市矿山机电器材有限公司,江苏 常熟 215500
Author(s):
YUAN Xiongjun12 WANG Hongyuan3 WANG Jun3 ZHANG Shenhao4
1. School of Environmental & Safty Engineering, Changzhou University, Changzhou 213164, China; 2. School of Safety Engineering, China University of Mining and Technology, Xuzhou 221116, China; 3. School of Information Science and Engineering, Changzhou University, Changzhou 213164, China; 4. Mine Electrical and Mechanical Equipment Co. Ltd., Changshu City, Changshu 215500, China
关键词:
粉尘 粉尘爆炸 监测预警技术
Keywords:
dust dust explosion monitoring and early warning technology
分类号:
X 964
DOI:
10.3969/j.issn.2095-0411.2018.01.006
文献标志码:
A
摘要:
粉尘具有多重危害,是造成职业病及粉尘爆炸的根本原因,一旦发生事故极易造成巨大的人员伤亡和财产损失,因此监测粉尘浓度,预防粉尘爆炸和职业病危害,对于涉尘企业安全生产工作具有重大的意义。通过研发全自动粉尘在线检测仪,并整合信息技术、云计算、物联网技术和事故预警技术,开发粉尘在线监测与事故预警系统平台,进一步掌握涉尘企业生产场所粉尘浓度指标,为企业和安监部门日常安全管理与监管、事故预防等提供科学的决策数据,从根本上提高粉尘事故预防与安全监管水平。
Abstract:
Dust is one of the causes of occupation disease and explosion because it has multiple hazards, resulting in huge casualties and property damage. Therefore, the detection of dust concentration, the prevention of dust explosion and occupational harzards are of great significance for the safe production of dust related enterprises. It is objective to further understand the dust concentration index of dust-exposed enterprises, the online monitoring for dust platform is established,together with the accident warning system. In developing the platform,the development of the automatic dust on-line detector is very critical. Meanwhile,the platform is integrated into many technologies, such as information technology,cloud computing technology, internet technology and accident warning technology,and so on. Hence,scientific decision-making data provided by the platform are important for the usual safety supervision and management. Furthermore,it fundamentally improves the level of dust accident prevention and safety supervision.

参考文献/References:

[1]BOBASHI R. Studies on accidental gas and dust explosions[J].Fire Safety Journal,2017,91(7):21-27.
[2]MARMOA L, RICCIOB D,DANZIA E.Explosibility of metallic waste dusts[J].Process Safety and Environmental Protection,2017,107(4):69-80.
[3]FUMAGALLIA A,DERUDIA M,ROTA R,et al.Prediction of the deflagration index for organic dusts as a function of the mean particle diameter[J].Journal of Loss Prevention in the Process Industries,2017,50(10):67-74.
[4]TENG F,CHEN Q,ZHANG J X,et al.Flame propagation and dust transient movement in a dust cloud explosion process[J].Journal of Loss Prevention in the Process Industries,2017,49(9):572-581.
[5]李运芝, 袁俊明, 王保民. 粉尘爆炸研究进展[J]. 太原师范学院学报(自然科学版), 2004, 3(2):79-82.
[6]黎世静, 马军德, 刘跃华. 粉尘浓度传感器在粮食系统中的应用[J]. 电子世界, 2017(8):129.
[7]刘 炜. 煤矿工作场所空气中粉尘浓度检测[J]. 煤炭与化工, 2017, 40(3): 154-156.
[8]LI G, YANG H X, YUAN C M, et al. A catastrophic aluminium-alloy dust explosion in China[J]. Journal of Loss Prevention in the Process Industries, 2016, 39:121-130.
[9]LIU Q, LI X D, BAI C H.Deflagration to detonation transition in aluminum dust-air mixture under weak ignition condition[J]. Combustion and Flame, 2009, 156:914-921.
[10]KOWHAKUL W, SHIBAHARA H, MASAMOTO H, et al. Dust explosion characteristics of cellulose ethers and cellulose acetates with various degrees of acetylation[J]. Journal of Loss Prevention in the Process Industries, 2016, 44:544-550.
[11]刘银, 廖志鑫, 贺良茂,等. 基于单片机的粉尘检测系统的设计[J]. 煤矿机械, 2011, 32(7):240-243.
[12]田军委, 邓晓荣, 程洪涛,等. 智能粉尘浓度检测系统设计[J]. 科技创新导报, 2015(32):24-25.
[13]曾世清, 龚本龙, 王南. 粉尘浓度在线检测的探讨[J]. 中国科技信息, 2017(1):69.
[14]唐娟. 粉尘浓度在线监测技术的现状及发展趋势[J]. 矿业安全与环保, 2009, 36(5):69-71.
[15]PALTRINIERI N, KHAN F, AMYOTTE P, et al. Dynamic approach to risk management: application to the hoeganaes metal dust accidents[J]. Process Safety and Environmental Protection, 2014, 92:669-679.
[16]郭少嘉, 张明明, 周学富,等. 工作环境粉尘检测与职业病关系[J]. 中国医学工程, 2011(8):90-91.
[17]周凯红, 李成, 王聪毅,等. 基于CAN总线的车间粉尘检测系统设计[J]. 仪表技术与传感器, 2016(11):81-84.
[18]马凤英. 模式分类与修补反演算法在光电粉尘检测中的应用[J]. 仪器仪表学报, 2006, 27(z1):359-360.

备注/Memo

备注/Memo:
收稿日期:2017-05-09。
基金项目:常熟市科技发展计划项目(CS201608); 常州市科技支撑计划(社会发展)项目(CE20155044)。
作者简介:袁雄军(1978—),男,湖北武穴人,博士生,讲师。E-mail: 5328860@qq.com
更新日期/Last Update: 2018-02-20