Design and Implementation of Meteorological Data Monitoring System Based on Distributed Collection and Visualization Technologies

This study aims to establish a set of digital monitoring collection standards and data models, develop a meteorological data monitoring system based on distributed collection and visualization technologies to meet the needs of real-time collection, distributed processing, and visual presentation of meteorological information. First, this paper extensively discusses the challenges and issues existing in current meteorological data monitoring systems, including low data collection efficiency and difficulties in collaborative processing in a distributed environment. Subsequently, by introducing distributed collection technology, efficient collection of meteorological data is achieved, and collaborative processing issues in a distributed environment are addressed through reasonable data storage and processing methods. In terms of system design, advanced visualization technologies are employed to present meteorological data to users in an intuitive and understandable manner. Through the use of visual elements such as charts and maps, users can quickly understand the trends, distribution, and patterns of meteorological data. Finally, through actual system implementation and performance testing, the superiority of the proposed meteorological data monitoring system in terms of data collection efficiency, distributed processing capability, and visualization effects is verified. This system provides strong technical support for further research and applications in the field of meteorological data monitoring.