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针对检测CO气体浓度的半导体传感器MQ7受环境温湿度变化以及H2浓度影响,提出了一种基于最小二乘法的补偿算法,运用该算法对环境温湿度以及H2浓度变化后的测量数据进行处理,使得MQ7测量结果不随环境温湿度和H2浓度的变化而改变.经实验验证:该算法能起到很好的补偿效果,补偿后的测量结果不受环境温湿度以及H2浓度变化干扰,补偿后测量准确度达到97%以上.
Abstract：As the detection accuracy of CO gas concentration by semiconductor sensor MQ7 is influenced by environmental temperature and humidity change and H2 concentration, a compensation algorithm is proposed based on least square method. Using the algorithm after the changes of environmental temperature and humidity and the H2 concentration to process the measured data, the MQ7 measurements is not changed with the change of environmental temperature and humidity and the concentration of H2. Experiment verification shows that the algorithm can play a good compensation effect. The compensated measurement results are not interfered by the changes of environmental temperature, humidity and H2 concentration, and the compensated measurement accuracy reaches over 97%.
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基本信息:
DOI：10.13291/j.cnki.djdxac.2020.05.011
中图分类号:TD71;TP212
引用信息:
[1]李花,姜维,刘晓东,等.基于MQ7传感器测量CO浓度补偿方法与实验研究[J].大连交通大学学报,2020,41(05):62-66+77.DOI:10.13291/j.cnki.djdxac.2020.05.011.
基金信息:
2016年辽宁省教育厅教育厅资助项目(JDL2016026)
2019-12-03
2019
2020-02-06
2020-02-18
2020
1
2020-10-15
2020-10-15