基于拉曼激光雷达的大气水汽监测系统设计
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延安大学物理与电子信息学院

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[1]延安市科技计划项目(2019ZCNZ-001)市级; [2]延安大学产学研合作项目(CXY201902)校级; [3]2019年陕西省大学生创新创业训练计划项目(S201910719071)省级; [4]延安大学重点项目(YDJGZD18-04)校级; [5]陕西省能源大数据智能处理省市共建重点实验室研究基金(IPBED11、IPBED16)。室研究基金(IPBED11、IPBED16)省级


Design of Atmospheric Water Vapor Monitoring System Based on Raman Lidar
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    摘要:

    针对当前大气水汽监测系统数据处理时间长,监测准确率低的问题,设计了基于拉曼激光雷达的大气水汽监测系统。采用激光发射器,将纳米棒放置在发射器内部的绝缘硅层上,连接原子级光滑银,产生共振磁场发射激光,确保发射频率稳定性,利用光电接收器,接收发射并折返激光波,监测大气水汽并记录相关数据,运用信号处理器,由分光器件获取并交由光电倍增管缓存实时数据,完成系统硬件设计。通过拉曼激光雷达技术,采集大气水汽信号,探测大气中散射光子数和回波光干数,根据监测数据,计算大气水汽的信噪比,推导出大气中水汽占比,完成系统软件设计,实现大气水汽实时监测。实验结果表明,基于拉曼激光雷达的大气水汽监测系统的监测准确率较高,能够有效缩短数据处理时间。

    Abstract:

    Aiming at the problems of long data processing time and low monitoring accuracy of the current atmospheric water vapor monitoring system, the atmospheric water vapor monitoring system based on Raman lidar is designed. Using a laser emitter, the nanorod is placed on the insulating silicon layer inside the emitter, which is connected with atomic level smooth silver to generate a resonant magnetic field to emit laser, so as to ensure the stability of the emission frequency. The photoelectric receiver is used to receive and return the laser wave, monitor the atmospheric water vapor and record the relevant data. The signal processor is used to obtain the light splitting device and send it to the photomultiplier tube for storage the system hardware design is completed. Through the Raman lidar technology, the atmospheric water vapor signal is collected, the scattered photon number and echo optical dry number in the atmosphere are detected. According to the monitoring data, the signal-to-noise ratio of atmospheric water vapor is calculated, and the proportion of water vapor in the atmosphere is deduced. The system software design is completed to realize the real-time monitoring of atmospheric water vapor. The experimental results show that the monitoring accuracy of atmospheric water vapor monitoring system based on Raman lidar is high, which can effectively shorten the data processing time.

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闫子瑜,杨延宁.基于拉曼激光雷达的大气水汽监测系统设计计算机测量与控制[J].,2021,29(2):40-43.

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  • 收稿日期:2020-12-10
  • 最后修改日期:2021-01-06
  • 录用日期:2021-01-06
  • 在线发布日期: 2021-02-08
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