基于β射线强度涨幅起落规律的粉尘浓度检测新算法
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摘要
基于β射线法检测粉尘浓度的基本算法和检测电路,文中通过实验分析方法揭示了β射线强度涨幅起落的本质规律和基本算法的局限性;针对基本算法中的决定因子ln(I1/I2)值,开展了粉尘高低浓度时一系列ln(I1/I2)值的规律研究,证明了ln(I1/I2)值仍有涨幅起落规律,且呈交变状态,与粉尘浓度成正相关关系;然后通过实验分析和数学推演的方法,提出一种基于β射线涨幅起落规律的粉尘浓度检测新算法;最后,对新算法进行了大量实验验证,实验结果表明:基于β射线强度涨幅起落规律的粉尘浓度检测新算法提高了粉尘浓度的检测精度。
Based on the basic algorithm and detection circuit for detecting dust concentration by β-ray method,this paper reveals the essential laws of the rise and fall of β-ray intensity and the limitations of the basic algorithm through experimental analysis methods;the determinant factor ln(I1/I2)value in the basic algorithm The study of a series of ln(I1/I2)values of dust concentration is proved that the ln(I1/I2)value still has the law of increase and decrease,and it is in an alternating state,which is positively correlated with the dust concentration;Based on the experimental analysis and mathematical deduction method,a new dust concentration detection algorithm based on β-ray rising and falling rules is proposed.Finally,a lot of experimental verifications are carried out on the new algorithm. The experimental results show that the dust concentration detection based on the β-ray intensity rise and fall rules The new algorithm improves the detection accuracy of dust concentration.
Based on the basic algorithm and detection circuit for detecting dust concentration by β-ray method,this paper reveals the essential laws of the rise and fall of β-ray intensity and the limitations of the basic algorithm through experimental analysis methods;the determinant factor ln(I1/I2)value in the basic algorithm The study of a series of ln(I1/I2)values of dust concentration is proved that the ln(I1/I2)value still has the law of increase and decrease,and it is in an alternating state,which is positively correlated with the dust concentration;Based on the experimental analysis and mathematical deduction method,a new dust concentration detection algorithm based on β-ray rising and falling rules is proposed.Finally,a lot of experimental verifications are carried out on the new algorithm. The experimental results show that the dust concentration detection based on the β-ray intensity rise and fall rules The new algorithm improves the detection accuracy of dust concentration.
引文
[1]付雷,孙晓宇,邢丽元,等.β射线颗粒物自动监测仪滤带安装及测试方法[J].农业与技术,2018,38(1):54-55.
[2]白晓亮,赵利.探讨β射线法颗粒物在线监测仪与手工采样器比对测试[J].山西化工,2017,37(3):44-46.
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[5] M Shinohara,K.Saitoh,M.Fujiwara,et al.Chemical information of aerosol obtained from spot samples on new type ptfe ultra-membrane filter-tape mounted in automated beta-ray[J].Journal of Aerosol Science,2004,1(0):347-348.
[6]左健,赵政.基于β射线吸收法的PM2.5连续自动监测的关键技术研究[J].仪表技术与传感器,2017(1):139-142,146.
[7]巫亮.考虑质量吸收系数μm变化的新β射线吸收法粉尘浓度计算公式研究[J].传感技术学报,2018,31(1):74-77.
[8]赵政.基于β射线法的烟尘浓度直读检测技术及实验[J].矿业安全与环保,2018,45(03):46-50.
[9] V Bindi,D Casadei,G Castellini,et al. The scintillator detector for the fast trigger and time-offlight(TOF)measurement of the space experiment AMS-02[J]. Nuclear Inst. and Methods in Physics Research,A,2010,623(3):77-81.
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[11]Anna Pla-Dalmau,Alan D. Bross,Kerry L. Mellott.Low-cost extruded plastic scintillator[J]. Nuclear Inst. and Methods in Physics Research,A,2001,466(3):125-133.
[12]杨海波,孔洁,赵红赟,等.高密度塑料闪烁体探测器的数据获取系统设计[J].原子能科学技术,2015,49(10):1882-1887.
[13]Jun Wang,Zimei Hu,Yuanyuan Chen,et al. Contamination characteristics and possible sources of PM10 and PM2.5 in different functional areas of Shanghai,China[J]. Atmospheric Environment,2013,68(2):65-72.
[14]Hone-Jay Chu,Hwa-Lung Yu,Yi-Ming Kuo.Identifying spatial mixture distributions of PM2.5and PM10 in Taiwan during and after a dust storm[J]. Atmospheric Environment,2012,54(5):1000-1013.
[15]梁艳,张增福,陈文亮,等.基于β射线法的新型PM2.5自动监测系统研究[J].传感技术学报,2014,27(10):1418-1422.
[16]Miller,Madison L,Lakshmanan,et al. An automated method for depicting mesocyclone paths and intensities[J]. Weather and Forecasting,2013,28(3):256-264.
[17]罗华.时标线性加权Sturm-Liouville特征值问题的谱理论分析[J].数学物理学报,2017,37(3):427-449.
[18]邵建新.标准偏差与测量结果标准不确定度的A类评定[J].统计与决策,2014(12):8-12.
[2]白晓亮,赵利.探讨β射线法颗粒物在线监测仪与手工采样器比对测试[J].山西化工,2017,37(3):44-46.
[3]张蓓,刘文凯,肖军,等.β射线法测量颗粒物浓度的可靠性分析[J].中国环保产业,2017(8):55-58.
[4] Seung S Park,Young J.Kim,K.W.Lee,et al.Development of an automatic beta gauge particulate sampler with filter cassette mechanism[J].Aerosol Science and Technology,The Journal of the American Association for Aerosol Research,2001,35(4):844-851.
[5] M Shinohara,K.Saitoh,M.Fujiwara,et al.Chemical information of aerosol obtained from spot samples on new type ptfe ultra-membrane filter-tape mounted in automated beta-ray[J].Journal of Aerosol Science,2004,1(0):347-348.
[6]左健,赵政.基于β射线吸收法的PM2.5连续自动监测的关键技术研究[J].仪表技术与传感器,2017(1):139-142,146.
[7]巫亮.考虑质量吸收系数μm变化的新β射线吸收法粉尘浓度计算公式研究[J].传感技术学报,2018,31(1):74-77.
[8]赵政.基于β射线法的烟尘浓度直读检测技术及实验[J].矿业安全与环保,2018,45(03):46-50.
[9] V Bindi,D Casadei,G Castellini,et al. The scintillator detector for the fast trigger and time-offlight(TOF)measurement of the space experiment AMS-02[J]. Nuclear Inst. and Methods in Physics Research,A,2010,623(3):77-81.
[10]A.A. Moiseev,P.L. Deering,R.C. Hartman,et al.High efficiency plastic scintillator detector with wavelength-shifting fiber readout for the GLAST Large Area Telescope[J]. Nuclear Inst. and MethodsinPhysicsResearch,A,2007,583(2):356-362.
[11]Anna Pla-Dalmau,Alan D. Bross,Kerry L. Mellott.Low-cost extruded plastic scintillator[J]. Nuclear Inst. and Methods in Physics Research,A,2001,466(3):125-133.
[12]杨海波,孔洁,赵红赟,等.高密度塑料闪烁体探测器的数据获取系统设计[J].原子能科学技术,2015,49(10):1882-1887.
[13]Jun Wang,Zimei Hu,Yuanyuan Chen,et al. Contamination characteristics and possible sources of PM10 and PM2.5 in different functional areas of Shanghai,China[J]. Atmospheric Environment,2013,68(2):65-72.
[14]Hone-Jay Chu,Hwa-Lung Yu,Yi-Ming Kuo.Identifying spatial mixture distributions of PM2.5and PM10 in Taiwan during and after a dust storm[J]. Atmospheric Environment,2012,54(5):1000-1013.
[15]梁艳,张增福,陈文亮,等.基于β射线法的新型PM2.5自动监测系统研究[J].传感技术学报,2014,27(10):1418-1422.
[16]Miller,Madison L,Lakshmanan,et al. An automated method for depicting mesocyclone paths and intensities[J]. Weather and Forecasting,2013,28(3):256-264.
[17]罗华.时标线性加权Sturm-Liouville特征值问题的谱理论分析[J].数学物理学报,2017,37(3):427-449.
[18]邵建新.标准偏差与测量结果标准不确定度的A类评定[J].统计与决策,2014(12):8-12.
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