气象服务中的数据传输
The Application of Computer Technology in Meteorological Services
DOI: 10.12677/csa.2024.144078, PDF,   
作者: 王 宁:陕西省气象信息中心,卫星遥感业务备份科,陕西 西安;黄 伟:江西应用科技学院软件与区块链学院,江西 南昌;刘俊宏:黑龙江省黑河市气象局,综合保障中心,黑龙江 黑河
关键词: 网络安全存储安全数据完整Cyber Security Storage Security Data Integrity
摘要: 构建科技领先、监测精密、预报精准、服务精细、人民满意的现代气象体系,计算机与气象并驾齐驱相互促进将气象与计算机紧密结合,然而气象高速发展的同时一些弊端逐渐显现,气象数据备份过程中网络攻击、数据丢失,网络堵塞的现象时有发生。通过提高气象数据的传输速率保证数据的实效性,利用加密压缩的传输方式保证数据的安全性,拓宽传输通道减少网络拥堵保证数据的完整性。这样的数据传输可以帮助预测更准确的实时天气预报,帮助从业人员做出决策并深入地研究气候变化的模式和趋势,准确的气象数据还可以为气候变化提供科学依据,提升对农作物的种植和管理,提高农业生产效率和产量。本文利用LZ77算法和数据压缩并行传输技术提升气象系统数据传输稳定、保障气象资料存储安全,加强网络安全建设。
Abstract: Construct a modern meteorological system with leading technology, precise monitoring, accurate forecasting, fine service, and people’s satisfaction, and the computer and meteorology go hand in hand to promote each other, and the meteorology and the computer are closely combined, but at the same time the rapid development of meteorology, some drawbacks gradually appear, and the phenomenon of network attacks, data loss, and network congestion in the process of meteorological data backup occurs from time to time. By improving the transmission rate of meteorological data, the effectiveness of the data is ensured, the transmission mode of encryption and compression is used to ensure the security of the data, the transmission channel is broadened, the network congestion is reduced, and the integrity of the data is ensured. Such data transmission can help achieve more accurate real-time weather forecasts, help practitioners make decisions and deeply study climate change patterns and trends, accurate meteorological data can also provide scientific basis for climate change, improve the planting and management of crops, and improve agricultural production efficiency and yield. In this paper, the LZ77 algorithm and data compression parallel transmission technology are used to improve the stability of data transmission in meteorological systems, ensure the security of meteorological data storage, and strengthen network security.
文章引用:王宁, 黄伟, 刘俊宏. 气象服务中的数据传输[J]. 计算机科学与应用, 2024, 14(4): 65-72. https://doi.org/10.12677/csa.2024.144078

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