| 红外气体传感器的数据处理 |
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| 引用本文： | 朱旭,陈俊峰,刘继东. 红外气体传感器的数据处理[J]. 自动化仪表, 2007, 28(4): 57-60 |
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| 作者姓名： | 朱旭 陈俊峰 刘继东 |
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| 作者单位： | 1. 中国矿业大学(北京)机电与信息工程学院,北京,100083
2. ABB(中国)有限公司,北京,100016 |
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| 摘 要： | 为了提高智能型红外气体传感器的性能，通过采集数据分析了数据特点。在仪器的研制中采用数字滤波和神经网络的数据处理方法以克服干扰、提高稳定性和准确性。证明数字滤波方法适用于减小红外气体传感器数据的随机误差，神经网络方法可以拟合出平滑的浓度-比值曲线；应用这些数据处理方法可以充分发挥智能型红外气体传感器的优异性能。
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| 关 键 词： | 红外气体传感器 数据处理 数字滤波 BP网络 |
| 修稿时间： | 2006-10-25 |
Data Processing for Infrared Gas Sensor |
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| Zhu Xu,Chen Juufeng,Liu Jidong. Data Processing for Infrared Gas Sensor[J]. Process Automation Instrumentation, 2007, 28(4): 57-60 |
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| Authors: | Zhu Xu Chen Juufeng Liu Jidong |
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| Abstract: | To improve the performance of intelligent infrared gas sensor, through collecting data, the features of data are analyzed. In development of the instrument, the methods of digital filtering and neural network for data processing are adopted for anti-nterference and enhancing stability and accuracy. It is proved that digital filtering method is suitable for decreasing random error of infrared gas sensor, while neural network method is able to fit smooth curves of concentration vs. ratio, By using these methods of data processing, the superior performance of intelligent infrared gas sensor can be fully demonstrated. |
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| Keywords: | Infrared gas sensor Data processing Digital filter Back-propagation network |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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