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| 自动气象站维修保障能力评估 | |
| 引用本文： | 周青,梁海河,李雁,刘钧,贾树泽,尹成海.自动气象站维修保障能力评估[J].气象科技,2012,40(3):349-353. |
| 作者姓名： | 周青 梁海河 李雁 刘钧 贾树泽 尹成海 |
| 作者单位： | 1. 南京信息工程大学,南京210044;中国气象局气象探测中心 2. 中国气象局气象探测中心 3. 中国华云技术开发公司 4. 国家卫星气象中心,北京,100081 5. 黑龙江省大气探测技术保障中心,哈尔滨,150030 |
| 基金项目： | 气象技术研究应用与培训项目（2200505）资助 |
| 摘 要： | 自动气象站的设备故障及技术保障水平影响着其运行效能的发挥。基于综合气象观测系统运行监控平台(ASOM)中运行的2400多套国家级自动站,通过调研各型号自动站厂家备件以及22个省(区)2007—2008年国家级自动气象站故障信息和维修数据,统计平均故障维修时间和平均故障持续时间等量化指标,对自动站的维修保障能力进行了综合评估,并对自动站故障部位、故障原因进行了统计分类,从而为实现统一的故障管理、提高技术保障能力、促进自动气象站维修保障能力评估自动化与标准化奠定基础。 |
| 关 键 词： | 自动气象站 故障 技术保障 |
| 收稿时间： | 2010/11/4 0:00:00 |
| 修稿时间： | 3/1/2011 12:00:00 AM |
Evaluation on Maintenance Support Capabilities of Automatic Weather Stations |
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| Zhou Qing,Liang Haihe,Li Yan,Liu Jun,Jia Shuze and Yin Chenghai.Evaluation on Maintenance Support Capabilities of Automatic Weather Stations[J].Meteorological Science and Technology,2012,40(3):349-353. | |
| Authors: | Zhou Qing Liang Haihe Li Yan Liu Jun Jia Shuze and Yin Chenghai |
| Affiliation: | Zhou Qing Liang Haihe Li Yan Liu Jun Jia Shuze Yin Chenghai (1 Nanjing University of Information Science and Fechonclogy, Nanjing 210044; 2 CMA Meteorological Observation Center, Beijingl00081; 3 Huayun Technology Development Corporation of CMA, Beijing 100081; 4 National Satellite Meteorological Center, Beijing 100081 ; 5 Atmospheric Observation Center, Heilongjiang, Harbin 150030) |
| Abstract: | Equipment troubleshooting and maintenance support capability for automatic weather stations (AWS) is extremely critical to the operation efficiency of AWS. Based on more than 2400 sets of national automatic weather stations monitored by the Atmospheric Observing System Operation Monitoring (ASOM), the investigation of spare parts from various types of AWS manufacturers, and the AWS failure information and maintenance data of 22 provinces (regions) national from 2007 to 2008, a comprehensive evaluation is conducted on the maintenance support capability of AWS by calculating the Mean Time To Repair (MTTR) and average failure duration. A statistical classification and analysis of fault locations and fault causes of AWS across China is carried out, thus to lay a solid foundation for achieving a unified fault management, improving logistic support capability, and promoting the automation and standardization of the evaluation of AWS Troubleshooting. |
| Keywords: | AWS troubleshooting technical maintenance support capability evaluation |
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