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。
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 R 2 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.
作者
王存飞
董映仪
任碧琳
郑丽娜
WANG Cunfei;DONG Yingyi;REN Bilin;ZHENG Li’na(National Energy Shendong Coal Group Co.,Ltd.,Shenmu Shaanxi 719300,China;School of Safety Engineering,China University of Mining and Technology,Xuzhou Jiangsu 221116,China)
出处
《中国安全生产科学技术》
北大核心
2025年第2期122-129,共8页
Journal of Safety Science and Technology
基金
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)。
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
low-cost particulate matter sensor
workplace dust
physical model
calibration analysis
