[1]姜小云[],李昭春[],吴俞[]. 基于STM32的新一代天气雷达远程监控系统设计[J].计算机技术与发展,2017,27(05):196-200.
 JIANG Xiao-yun[],LI Zhao-chun[],WU Yu[]. Design of Remote Monitoring System for New Generation Weather Radar with STM32[J].,2017,27(05):196-200.
点击复制

 基于STM32的新一代天气雷达远程监控系统设计()
分享到:

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
27
期数:
2017年05期
页码:
196-200
栏目:
应用开发研究
出版日期:
2017-05-10

文章信息/Info

Title:
 Design of Remote Monitoring System for New Generation Weather Radar with STM32
文章编号:
1673-629X(2017)05-0196-05
作者:
 姜小云[1]李昭春[1]吴俞[2]
1. 海南省气象探测中心;2.海南省气象台
Author(s):
 JIANG Xiao-yun[1]LI Zhao-chun[1]WU Yu[2]
关键词:
 STM32新一代天气雷达远程控制系统设计网络控制
Keywords:
 STM32next generation weather radarremote controlsystem designnetwork control
分类号:
TP302
文献标志码:
A
摘要:
 为了最大程度发挥新一代天气雷达在天气预报、气象决策和服务、人工影响天气等业务和科研方面的效益,设计了网络远程控制和应急解决新一代天气雷达部分故障(软件故障、停机故障、虚警故障等)的系统.通过设计网络继电器开关控制新一代天气雷达伺服控制单元、新一代天气雷达数据采集控制单元、新一代天气雷达发射机主控板等设备电源以实现远程复位,设计新一代天气雷达信号波形监控系统以实现对新一代天气雷达设备远程快速在线诊断.其在海南省新一代天气雷达站的实际运行情况表明,该系统应用效果良好,使得新一代天气雷达的系统可用性大幅提高,故障诊断与排除时间大为缩短,在全国天气雷达观测业务年终考评中名列前茅.该系统的设计方法可供其他新一代天气雷达站应用和借鉴.
Abstract:
 The network remote control and rightly repairing system for the new generation weather radar (software faults,stopping running,false alarming,etc) has been designed for the most extent to develop the effect of business and research such as weather radar for weather forecast,meteorological decision and service,man-made informing weather and so on.By designing relay electronic switch systems to control the radar servo-actuated unit,the radar data acquisition unit and the radar transmitting main controlling board and other system device power supply to realize remote operations reset,the wave form monitoring system has been designed for the new generation weather radar’s remote quickly diagnosis on line.According to the actual operation of the system in some new generation weather radar stations in Hainan province,the operation situations have shown that this system has run in good operation and application and the availability of the new generation of weather radar has been promoted significantly as well as the fault diagnosis and elimination time greatly shortened.In the national weather radar observation business year-end evaluation,this system has reached the first with the best performance nationally.The reference value of this design method for this system can be involved in construction of other new generation weather radar stations.

相似文献/References:

[1]王超,骆德汉,郑魏,等.基于STM32的嵌入式智能家居无线网关设计[J].计算机技术与发展,2013,(03):241.
 WANG Chao,LUO De-han,ZHENG Wei,et al.Design of Embedded Intelligent Home Wireless Gateway Based on STM32[J].,2013,(05):241.
[2]靳小强,王建斌,李建增,等.基于STM32与FPGA的导波激励源设计[J].计算机技术与发展,2013,(07):211.
 JIN Xiao-qiang,WANG Jian-bin,LI Jian-zeng,et al.Design of Excitation Source Circuit for Guided Waves Based on STM32 and FPGA[J].,2013,(05):211.
[3]张志宏,吴庆波,邵立松,等.基于飞腾平台TOE协议栈的设计与实现[J].计算机技术与发展,2014,24(07):1.
 ZHANG Zhi-hong,WU Qing-bo,SHAO Li-song,et al. Design and Implementation of TCP/IP Offload Engine Protocol Stack Based on FT Platform[J].,2014,24(05):1.
[4]梁文快,李毅. 改进的基因表达算法对航班优化排序问题研究[J].计算机技术与发展,2014,24(07):5.
 LIANG Wen-kuai,LI Yi. Research on Optimization of Flight Scheduling Problem Based on Improved Gene Expression Algorithm[J].,2014,24(05):5.
[5]黄静,王枫,谢志新,等. EAST文档管理系统的设计与实现[J].计算机技术与发展,2014,24(07):13.
 HUANG Jing,WANG Feng,XIE Zhi-xin,et al. Design and Implementation of EAST Document Management System[J].,2014,24(05):13.
[6]侯善江[],张代远[][][]. 基于样条权函数神经网络P2P流量识别方法[J].计算机技术与发展,2014,24(07):21.
 HOU Shan-jiang[],ZHANG Dai-yuan[][][]. P2P Traffic Identification Based on Spline Weight Function Neural Network[J].,2014,24(05):21.
[7]李璨,耿国华,李康,等. 一种基于三维模型的文物碎片线图生成方法[J].计算机技术与发展,2014,24(07):25.
 LI Can,GENG Guo-hua,LI Kang,et al. A Method of Obtaining Cultural Debris’ s Line Chart Based on Three-dimensional Model[J].,2014,24(05):25.
[8]翁鹤,皮德常. 混沌RBF神经网络异常检测算法[J].计算机技术与发展,2014,24(07):29.
 WENG He,PI De-chang. Chaotic RBF Neural Network Anomaly Detection Algorithm[J].,2014,24(05):29.
[9]刘茜[],荆晓远[],李文倩[],等. 基于流形学习的正交稀疏保留投影[J].计算机技术与发展,2014,24(07):34.
 LIU Qian[],JING Xiao-yuan[,LI Wen-qian[],et al. Orthogonal Sparsity Preserving Projections Based on Manifold Learning[J].,2014,24(05):34.
[10]尚福华,李想,巩淼. 基于模糊框架-产生式知识表示及推理研究[J].计算机技术与发展,2014,24(07):38.
 SHANG Fu-hua,LI Xiang,GONG Miao. Research on Knowledge Representation and Inference Based on Fuzzy Framework-production[J].,2014,24(05):38.
[11]徐富新,杨晓津,刘雁群. 基于ARM的液体表面张力系数测量系统设计[J].计算机技术与发展,2016,26(11):144.
 XU Fu-xin,YANG Xiao-jin,LIU Yan-qun. Measurement System of Liquid Surface Tension Coefficient Based on ARM[J].,2016,26(05):144.

更新日期/Last Update: 2017-07-07