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[1]王存飞,董映仪,任碧琳,等.基于粒径谱物理模型的颗粒物传感器校准研究*[J].中国安全生产科学技术,2025,21(2):122-129.[doi:10.11731/j.issn.1673-193x.2025.02.016]
　WANG Cunfei,DONG Yingyi,REN Bilin,et al.Research on calibration of particulate matter sensor based on particle size spectrum physical model[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2025,21(2):122-129.[doi:10.11731/j.issn.1673-193x.2025.02.016]
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基于粒径谱物理模型的颗粒物传感器校准研究*
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《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
21
期数:
2025年2期
页码:
122-129
栏目:
职业安全卫生管理与技术
出版日期:
2025-02-28

文章信息/Info

Title:
Research on calibration of particulate matter sensor based on particle size spectrum physical model
文章编号:
1673-193X(2025)-02-0122-08
作者:
王存飞; 董映仪; 任碧琳; 郑丽娜
（1.国家能源神东煤炭集团有限责任公司，陕西 神木 719300；
2.中国矿业大学 安全工程学院，江苏 徐州 221116)
Author(s):
WANG Cunfei;  DONG Yingyi;  REN Bilin;  ZHENG Li’na
(1.National Energy Shendong Coal Group Co.,Ltd.,Shenmu Shaanxi 719300,China;
2.School of Safety Engineering,China University of Mining and Technology,Xuzhou Jiangsu 221116,China)
关键词:
低成本颗粒物传感器; 作业场所粉尘; 物理模型; 校准分析
Keywords:
low-cost particulate matter sensor;  workplace dust;  physical model;  calibration analysis
分类号:
X851；X924.2
DOI:
10.11731/j.issn.1673-193x.2025.02.016
文献标志码:
A
摘要:
为准确监测环境空间内颗粒物浓度，实现粉尘质量浓度的有效控制，提出1种基于粒径谱信息的物理模型校准方法，分别在室外环境和作业场所中开展颗粒物质量浓度监测活动，并将其与当前常用的经验校准方法相比较。研究结果表明：粒径谱物理模型校准对PM2.5以及PM10质量浓度的校准效果明显优于经验校准模型，尤其是R2以及拟合直线斜率指标，表明粒径谱物理模型在数据拟合和变异解释上更为精准，该方法可以有效提高传感器的监测精度和适用性。研究结果可为为环境监测和健康评估提供可靠数据支持。
Abstract:
In order to accurately monitor the concentration of particulate matter in the ambient space and achieve the effective control of dust mass concentration,a calibration method of physical model based on particle size spectral information was proposed.The monitoring of particulate matter mass concentration was carried out in outdoor environment and workplace respectively,and compared with the current commonly used empirical calibration methods.The results show that the physical model calibration method based on particle size spectrum significantly outperforms the empirical calibration models for calibration effect of PM2.5 and PM10 concentrations,especially in terms of R2 and the slope of fitted line.It shows that the physical model based on particle size spectrum is more precise in data fitting and variance explanation,and this method can effectively enhance the monitoring accuracy and applicability of sensors.The research results can provide reliable data support for environmental monitoring and health assessment.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期： 2024-06-05
* 基金项目： 国家能源集团2020年度十大科技攻关项目(E210100285)；中央高校基本科研业务费专项资金项目（2021YCPY0107）
作者简介： 王存飞，硕士，教授级高级工程师，主要研究方向为煤炭企业技术开发及管理。
通信作者： 郑丽娜,博士,教授,主要研究方向为工作场所粉尘暴露监测、气溶胶采样技术、气溶胶化学组分在线监测技术和仪器研发等。
更新日期/Last Update: 2025-03-04