大数据时代粮食储备管理与监测预警变化分析

New Changes in the Management and Early Warning of Food Stocks in the Big Data Era

大数据技术逐渐在农业领域得到广泛应用,特别是近来国家粮食储备管理与监测预警系统方面的研发和使用。粮食储备管理监测预警系统挣脱了传统意义上的储备监测预警系统枷锁,充分地结合了大数据技术,正展现出一些新的发展模式和应用特点。为适应农业大数据时代保障国家粮食储备管理的需要,采用智能物联网、云处理计算、相关性分析等技术手段,通过对海量农业数据的研究和分析发现,粮食储备管理与监测预警系统从以往单一的、传统的、分散的监测系统逐步向智能化、精细化、全面化、预测性的预警系统转变,能更高效、准确、快速地保障好国家粮食的储备安全。

In the era of big data,big data technology is gradually beginning to be widely used in agriculture,especially in therecent research and development of the national grain reserve management and early warning system.The monitoring and earlywarning system of grain reserve management has broken free from the yoke of the traditional monitoring and warning system,fully integrated with the big data technology,and is showing some new development modes and application features.For thepurpose of meeting the need of national grain reserve management in the era of agricultural big data,this paper adopts the technicalmeans such as intelligent internet of things,cloud computing and correlation analysis,through the massive agriculturaldata research and analysis we found that,the food stockpile management and early warning system has been gradually transformedfrom a single,traditional and decentralized monitoring system to an intelligent,refined and comprehensive early warningsystem,so as to ensure more efficient,accurate and rapid protection of national food Reserve safe.