粮情智能分析基础数据手册的开发

Development of Basic Data Manual for Intelligent Analysis of Grain Condition

十八大以来,我国通过粮安工程等项目,推动了储粮技术的数字化和智能化,建成了世界上最大的粮食物联网。但由此产生的大量粮情数据,以温度为主,暂未有效支撑决策和管理。团队在前期研究了粮堆生态多场耦合理论的基础上,进一步凝练出了储备粮数字监管的连续性、周期性及协调性原理,以及AID、ABC、6R、SIN、O、CAE、U等系列智能策略,但这些策略的应用直接面对原始数据,存在效率低、误差大等问题。鉴于此,基于我国不同储粮生态区域典型粮仓、主要粮食品种的储粮原始粮情数据进行了有针对的挖掘,开发了粮情智能分析基础数据手册,以便智能策略的高效正确应用。以夯实粮情智能分析的基础,助推储粮数量和质量数字监管,实现由“人防”向“技防”的转变。

Based on the implementing grain security projects and instituting other relevant grain security policies, China has promoted the process of digitalization and intelligence of grain storage and built the world’s largest grain Internet of Things, since the 18th National Congress of the Communist Party of China. But, the resulting large amount of grain data, mainly based on temperature, can not effectively support decision-making and management on grain storage. Based on the study of the multi-field coupling theory of grain pile ecosystem, our research team further extracted the continuity principle, periodicity principle, and coordination principle of digital supervision of grain reserves, and proposed a series of intelligent strategies such as AID, ABC, 6R, SIN, CAE, O, and U. However, the application of these strategies directly faces the original data, which has some problems such as low efficiency and large error. To apply the intelligent strategies efficiently and correctly, the basic data manual of intelligent analysis of grain condition has been developed, according to the original grain condition data of typical granaries and main grain varieties in different grain storage ecological regions in China. The development of this manual is expected to consolidate the foundation of intelligent analysis of grain situation, which could promote the digital monitoring of grain storage quantity and quality, and realize the transformation from "manual defense" to “technical defense”.