首页> 外文会议>Symposium on Novel Optoelectronic Detection Technology and Applications >Design of a Photoelectric Precision Detection Circuit of Dual Channel for the NH3 Concentration
【24h】

Design of a Photoelectric Precision Detection Circuit of Dual Channel for the NH3 Concentration

机译:NH3浓度双通道光电精密检测电路的设计

获取原文
获取外文期刊封面目录资料

摘要

Ammonia(NH3) is the most abundant alkaline gas in the atmosphere. It is the root cause of the formation of most secondary particulates in PM2.5 and the accelerator of the haze pollution formation in the atmosphere. Therefore the monitoring of the NH3 concentration is very important to the environmental protection. In this paper, the principle of NH_3 concentration detection based on Lambert-Beer law has been introduced. A dual-channel modulated ultraviolet photoelectric signal detection circuit for NH_3 concentration has been designed and its performance index has been studied. And then a precision detection circuit is designed, which is composed of a trans-impedance amplifier and a lock-in amplifier, with which the output of the UV photoelectric detector can be amplified to a suitable voltage range, and the DC noise of the pre-stage amplifier is effectively removed by the lock-in amplifier. The designed circuit has been tested for the NH_3 concentration quantitative measuring in the laboratory, with the exchange calibration method being used to ensure the consistency of the two channels. It can be drawn from the test results that the designed circuit is of high SNR, measuring accuracy and a large dynamic range. The NH_3 concentration detection limit of vehicle emissions can reach 2ppm, while the detection precision is ±19ppm.
机译:氨(NH3)是大气中最丰富的碱性气体。它是在PM2.5中形成大多数二次颗粒的根本原因和大气中雾度污染形成的加速器。因此,对NH 3浓度的监测对环境保护非常重要。本文介绍了基于兰伯特 - 啤酒法的NH_3浓度检测原理。设计了用于NH_3浓度的双通道调制紫外光光信号检测电路及其性能指标已经研究。然后设计精度检测电路,其由跨阻抗放大器和锁定放大器组成,其中UV光电检测器的输出可以被放大到合适的电压范围,以及预先的直流噪声-Stage放大器通过锁定放大器有效地除去。设计电路已经测试了实验室中的NH_3浓度定量测量,并使用交换校准方法来确保两个通道的一致性。可以从测试结果中提取,设计电路具有高SNR,测量精度和大动态范围。车辆排放的NH_3浓度检测极限可达到2ppm,而检测精度为±19ppm。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号