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作 者:郑开涛[1] 刘世洪[1] 聂秀萍[1] 刘伟[1]
机构地区:[1]中国农业科学院农业信息研究所,农业部农业信息服务技术重点实验室,北京100081
出 处:《中国粮油学报》2018年第1期125-130,共6页Journal of the Chinese Cereals and Oils Association
基 金:中国农业科学院科技创新工程(CAAS-AsTIP-201X-AII)
摘 要:近年来,物联网、云计算、移动互联网等现代信息产业技术的蓬勃发展和广泛应用,为我国粮食仓储业实现科技储粮、科技管粮、科技兴粮提供了新的方法和思路。为了保障粮食安全,实时监测粮仓警情,本研究依据物联网、云计算、移动互联网、数据挖掘等技术,提出建立优质稻谷储期模型,并依托模型,设计实现集监测、分析、预警于一体的稻谷质量智能监测预警系统,最终通过设计实验,来验证系统的可行性。实验结果表明,系统运行稳定,可达到实时监测粮仓警情的目的。In recent years, the rapid development and wide application of modern information industry technology, such as Internet of things, cloud computing, mobile Internet, provide new methods and ideas for scientific grain storage, scientific grain management for the national grain storage industry. The purpose of this paper was to ensure the safety of grain and to monitor the alarm situation of granary in real time. On the basic of the above technology, the author put forward the establishment of high - quality grain storage period model, and then based on the model, designed the grain quality monitoring and warning system integrating with the monitoring, analysis and warning. Finally, the feasibility of the system was verified by designing experiments. The experimental results showed that the system ran stably and could achieve the purpose of real - time monitoring the alarm situation of granary.
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