煤矿粉尘职业危害监测技术及其发展趋势

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1、煤矿粉尘职业危害监测技术及其发展趋王杰郑林江中煤魁X集团重庆研究院有限公司重庆大学为有效预防煤矿粉尘职业危害，以煤矿粉尘特别是呼吸性粉尘浓度检测技术为研宂对象，探讨了呼吸性粉尘颗粒物国内外分离技术和标准、分析了目前环境总粉尘浓度连续监测技术和个体呼吸性粉尘浓度监测技术，针对国内外环境呼吸性粉尘浓度连续监测技术方面尚处空白的现状，提出了开展环境呼吸性粉尘在线连续监测及个体监测技术研宄的基本思路，阐述了煤矿粉尘职业危害监测预警技术的发展趋势，以及构建煤矿粉尘职业危害监测预警平台的架构模式。研究结果表明:满足“BMRC

2、”分离曲线的分离器是实现呼吸性粉尘颗粒物浓度检测的前提，激光散射法、微量振荡天平法等是主要手段，只有建立起基于网络化大数据支撑的新型职业危害预警指标体系和预警模型，才能真正实现煤矿粉尘职业危害有效预测，提高监管水平。关键词：粉尘职业危靑:呼吸性粉尘;分离效能;监测预警;Tel:18523290134，基金：W家重点研发计划资助项目(2017YEC0805208,2016YEC0801707)Developmenttendencyandmonitoringtechnologyofdustoccupationalha

3、zardincoalmineWANGTieZHENGLinjiangChongqingResearchInstitute,ChirmCoalTechnologyandEngineeringGroup;ChongqingUniversity;Abstract：Inordertoeffectivelypreventthedustoccupationalhazardsofthecoalmine,basedontherespirabledustdensitydetectiontechnologyoftheminedust

4、speciallyasthestudyobject,thepaperdiscussedthedomesticandoverseasseparationtechnologyandstandardoftherespirabledustparticlesandanalyzedthetotaldustdensitycontinuousmonitoringtechnologyatthepresentenvironmentandthepersonalrespirabledustdensitymonitoringtechnol

5、ogy.Accordingtoablankstatusoftheenvironmentrespirabledustcontinuousmonitoringtechnologyathomeandabroad,thepaperprovidedabaseideatoconducttheon-linecontinuedmonitoringoftheenvironmentrespirabledustandtostudytheindividualmonitoringtechnology.Thepaperstatedthede

6、velopmenttendencyofthedustoccupationalhazardmonitoringandearlywarningtechnologyandtoestablishtheframeworkmodeofthedustoccupationalhazardmonitoringandtheearlywarningplatformincoalmine.Thestudyresultshowedthattheseparatortomeetthe“BMRC”separationcurvewouldbethe

7、premisetorealizethedetectionoftherespirabledustparticledensity.Thelaserscatteringmethod,themicroqualityoscillatingbalancemethodandotherswouldbethemajormeans.Onlytheearlywarningindexsystemofthenewoccupationalhazardandtheearlywarningmodelofthenewoccupationalhaz

8、ardsestablished,theeffectivepredictionofthecoalminedustoccupationalhazardscouldbereallyrealizedandthemonitoringlevelcouldbeimproved.Keyword：dustoccupationalhazard;respirabledust;separatio