摘要
文章利用国家级自动气象站数据统计了山东省每月发生的静风持续时间,然后根据静风按月分布特点基于小时数据设计了识别区域站风传感器轴承卡滞故障的算法,并讨论了联合气温、湿度、风速识别传感器冻住的算法,最后基于综合气象观测运行监控系统,设计了个性化监控算法实现系统;算法运行结果显示,软件运行可靠,算法识别准确,为区域站风传感器现场核查时机提供了一种参考的判断依据,也为保障人员及时处理风传感器故障提供了有力支持,实现了从设备前端控制数据质量。
Using the data of national automatic weather station,this paper calculates the duration of the monthly calm wind in Shandong province.Then,according to the monthly distribution characteristics of static wind,an algorithm is designed to identify the bearing stuck fault of regional station wind sensor based on hourly data.The algorithm for identifying sensor freezing by combining temperature,humidity and wind speed is discussed.Finally,based on the integrated meteorological observation operation monitoring system,a personalized monitoring algorithm implementation system is designed.The operation results of the algorithm show that the software is reliable and the algorithm identification is accurate,which provides a reference judgment basis for the on-site verification timing of wind sensor in regional stations,and also provides strong support for ensuring personnel to deal with the wind sensor fault in time,and realizes the control of data quality from the front end of the equipment.
作者
吴举秀
黄磊
边文超
于帅
Wu Juxiu;Huang Lei;Bian Wenchao;Yu Shuai(Key Laboratory for Meteorological Disaster Prevention and Mitogation of Shandong,Ji'nan 250031;Support Center for Atmospheric Sounding Technology,Shandong Provincial Meteorological Service,Ji'nan 250031)
出处
《气象水文海洋仪器》
2021年第4期26-28,共3页
Meteorological,Hydrological and Marine Instruments
基金
山东省气象局重点课题(2019sdqxz05)
山东省自然科学基金面上项目(ZR2020MD052)
山东省气象局面上课题(2018sdqxm08)资助.
关键词
轴承卡滞识别
核查时机
风传感器
个性化监控
recognition for bearing stuck
verification timing
wind sensor
personalized monitoring
作者简介
吴举秀(1974-),女,博士,高级工程师,主要从事气象探测设备运行保障及雷达气象学研究工作.
