基于曲面拟合理论CO_2传感器数据融合研究  

Research on data fusion for CO_2 gas sensor based on curved surface consolidation theory

作　　者：修德斌[1] 孙风光[2] 崔体波[2] 郭忠文[1] 韩德维[1] 

机构地区：[1]哈尔滨理工大学测量控制与通讯工程学院,黑龙江哈尔滨150080 [2]中国电子科技集团公司第四十九研究所,黑龙江哈尔滨150001

出　　处：《传感器与微系统》2007年第8期9-11,共3页Transducer and Microsystem Technologies

基　　金：黑龙江省攻关计划资助项目(G99B2-11-1)

摘　　要：针对CO2气体传感器在实际应用中，由于环境因素干扰而导致检测精度下降这一问题，提出了采用曲面拟合理论的数据融合方法来消除环境温度对传感器输出的干扰。实验是在气体和温度的二维标定系统中进行，实验温度为0—50℃，CO2气体体积分数为（O-2000）×10^-6，标定点取36个。通过数据融合，有效地降低了温度变化对CO2气体传感器输出的干扰，提高了气体传感器和温度传感器的测量准确度。If there are environment obstacles existing , the accuracy of the carbon dioxide gas sensor will come down, The data fusion method is applied to solve this problem ,and this method is based on the theory of curved surface consolidation. The experiment is operated in the gas ＆ temperature fusion system,and the temperature of the experiment is 0 - 50 ℃ ; the volume fraction of the carbon dioxide is （ 0 - 2 000 ） × 10 ^-6 ; the number of the demarcation point is 36. By using the data fusion method, the obstacle which caused by the temperature change is effectively reduced on the output side of the carbon dioxide gas sensor, and accuracy of the gas sensor and the temperature sensor is raised.

关 键 词：曲面拟合 信息融合 气体传感器 温度 

分 类 号：TP212[自动化与计算机技术—检测技术与自动化装置]