1. Key Laboratory for Meteorological Disaster Monitoring and Early Warning and Risk Management of Characteristic Agriculture in Arid Regions,CMA,Yinchuan 750002; 2. Ningxia Key Lab of Meteorological Disaster Prevention and Reduction,Yinchuan 750002; 3. Shizuishan Meteorological Observatory of Ningxia,Shizuishan 753000; 4. Ningxia Atmospheric Obseruation & Technology Support Center,Yinchuan 750002
Abstract:In order to ensure the long-term safe and stable operation of automatic weather stations in outdoor areas,improve the timely transmission rate and data quality of meteorological observation elements,upgrading and transforming the software and hardware of the power supply system of automatic weather stations in outdoor areas is an important task to promote the high-quality development of the current meteorological observation industry.The article briefly introduces the concept of Internet of Things technology,the composition of automatic weather stations,and the working principle of the power supply system of automatic weather stations.It summarizes the prominent problems of solar controller failure,battery aging and failure in the operation of automatic stations.By improving the hardware of the core component battery in the power supply system of the regional station,as well as the IoT transformation of the solar controller and battery,the service life of the power supply system is extended,its stability is improved,and the remote monitoring capability of the solar controller and battery is enhanced.This further strengthens the overall reliability of the regional station operation,improves the timeliness and quality of meteorological observation element data transmission,and provides reference and inspiration for future software and hardware upgrades of automatic weather station power supply systems.
姜浩, 黄玉学, 薛佩珍, 吴晓. 基于物联网技术的区域自动气象站供电系统改良方法研究[J]. 气象水文海洋仪器, 2026, 43(1): 35-38.
Jiang Hao, Huang Yuxue, Xue Peizhen, Wu Xiao. Research on the improvement method of power supply system for regional automatic meteorological stations based on Internet of Things technology. Meteorological Hydrological and Marine Instrument, 2026, 43(1): 35-38.