基于LabVIEW大气激光雷达数据采集与可视化软件的设计

J4 ›› 2013, Vol. 30 ›› Issue (1): 116-122.

基于LabVIEW大气激光雷达数据采集与可视化软件的设计

陈超^1,2，宋小全¹

1中国海洋大学海洋遥感研究所，山东青岛 266003；
2山东省海洋环境监测技术重点实验室山东省科学院海洋仪器仪表研究所，山东青岛 266001

出版日期:2013-01-28 发布日期:2013-01-11
通讯作者: 宋小全（1976-）山东莱州人，博士，主要从事激光遥感遥测研究。 E-mail:songxq@ouc.edu.cn
作者简介:陈超（1982-）山东青岛人，研究生，主要从事激光雷达大气探测研究。
基金资助:
中国气象科学院灾害天气国家重点实验室开放课题(2010LASW-A07)，城市气象科学研究基金(UMRF201002)，海洋公益性行业科研专项(201205036)

LabVIEW software design of data acquisition and visualization for atmospheric lidar

Chen Chao ^1,2 , Song Xiaoquan¹

1 Ocean Remote Sensing Institute, Ocean University of China, Qingdao 266003, China;
2 Shandong Provincial Key Laboratory of Ocean Environment Monitoring Technology, Institute of Oceanographic Instrumentation, Shandong Academy of Sciences, Qingdao, Shandong, 266001, China

Published:2013-01-28 Online:2013-01-11

摘要/Abstract

摘要：

介绍了基于LabVIEW编程语言开发的米散射大气激光雷达数据采集与可视化软件。设计中利用LabVIEW调用光子计数卡（MSA300）的动态链接库，实现了激光雷达软件对大气回波数据的实时采集与显示，根据Fernald方法即时处理回波信号并显示消光系数与回波强度时间高度显示图（THI）。软件采集的数据直接转换并保存为ASCII码文本格式，便于数据的后期处理与分析。初步实验效果表明，软件能够对大气回波信号、消光系数与THI图进行实时可视化显示，便于直观了解大气激光雷达连续探测的大气气溶胶和云时空变化信息。实验表明，软件具有良好的实时性与准确性。

关键词: 大气激光雷达, LabVIEW, 动态链接库, 数据采集, 软件设计

Abstract:

The data acquisition and visualization software of Mie lidaris developed based on LabVIEW.It can acquire and display data of lidarinreal time by LabVIEW calling the dynamic link library of photon counting card(MSA300). The extinction coefficient is inversed by Fernald method and displayed with time-height-indication (THI) figure. The software convertsand savesthe data as ASCII format to be post-processed and analyzed.Lidar experiments show that the atmospheric data, extinction coefficients and THI can be displayed in real time by the software to intuitive understand the spatial and temporal changes of the aerosol and cloud.

Key words: atmospheric lidar, LabVIEW, dynamic link library, data acquisition, software design

陈超，宋小全. 基于LabVIEW大气激光雷达数据采集与可视化软件的设计[J]. J4, 2013, 30(1): 116-122.

Chen Chao, Song Xiaoquan. LabVIEW software design of data acquisition and visualization for atmospheric lidar[J]. J4, 2013, 30(1): 116-122.

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