基于电声效应的二氧化碳浓度空间分布测量方法研究  

Research on Measurement Method of Carbon Dioxide Concentration Spatial Distribution Based on Electroacoustic Effect

作　　者：丁强 徐敏苗 韩炜炜 DING Qiang;XU Minmiao;HAN Weiwei(Shouguang Urban and Rural Public Service Group Co.,Ltd.,Weifang 262700,China;Qingdao Haike Testing Co.,Ltd.,Qingdao 266000,China;Qingdao Municipal Highway Development Center,Qingdao 266000,China)

机构地区：[1]寿光城乡公共服务集团有限公司,山东东潍坊262700 [2]青岛海科检测有限公司,山东青岛266000 [3]青岛市公路事业发展中心,山东青岛266000

出　　处：《电声技术》2025年第2期187-189,193,共4页Audio Engineering

摘　　要：二氧化碳浓度空间分布测量是环境监测与气体扩散研究中的重点,传统测量方法在大范围浓度分布和复杂环境适应性方面仍存在局限。利用电声效应捕捉声速与二氧化碳浓度的关系,实现高效、动态的空间分布测量。提出基于电声效应的二氧化碳浓度空间分布测量方法,构建包含浓度分布、声波传播修正项与温度梯度影响的理论模型,设计基于网格化传感器布置与实时数据处理的实验框架,设置常规静态环境、动态气流环境及高温高湿环境进行实验验证。结果表明,该方法在测量精度、响应速度、空间覆盖能力及稳定性方面均优于对比方法,为二氧化碳浓度监测进一步发展提供动力。The spatial distribution measurement of carbon dioxide concentration is a key focus in environmental monitoring and gas diffusion research,traditional measurement methods still have limitations in terms of large-scale concentration distribution and adaptability to complex environments.The electroacoustic effect captures the relationship between sound velocity and carbon dioxide concentration,achieving efficient and dynamic spatial distribution measurement.This article proposes a method for measuring the spatial distribution of carbon dioxide concentration based on the electroacoustic effect.A theoretical model is constructed that includes concentration distribution,acoustic propagation correction term,and temperature gradient effects.An experimental framework is designed based on grid sensor layout and real-time data processing.Conventional static environment,dynamic airflow environment,and high temperature and high humidity environment are set up for experimental verification.The results indicate that this method outperforms the comparative method in terms of measurement accuracy,response speed,spatial coverage,and stability,providing impetus for further development of carbon dioxide concentration monitoring.

关 键 词：电声效应 二氧化碳浓度 空间分布模型 数据融合 误差分析 

分 类 号：TN912.1[电子电信—通信与信息系统] P4122..2277[电子电信—信息与通信工程]