摘要
储备粮监管是关系国家粮食安全的大事。我国已经建成了世界上最大的粮食物联网,尽管仍然存在数据质量不高、利用率不高、信息孤岛现象严重等问题,但依然为开展储备粮数字化监管提供了基础。在研究粮堆多场耦合及生物场理论的基础上,提出了储备粮数字监管的连续性、周期性和协调性原理,进一步给出了利用粮情大数据分析的7项智能策略和粮仓储粮10模态的智能分析方法,并结合2018年参与全国政策性储备粮清仓查库10个省的应用案例,剖析了储备粮数字监管原理以及7项智能策略,以期为加速相关技术科技成果转化和大面积推广应用,同时加速建构高质量储备粮监管技术体系,推进储备粮管理从“人管”向“技管”转变,让数据在储粮决策和管理中发挥应有的作用。
The supervision of grain reserves is a major event of national food security.China has built the largest grain internet of things in the world.Although there are still have some problems such as low data quality,low utilization rate,and serious information islands,it still provides a basis for conducting digital supervision on grain reserves.On the basis of studying the multi-fields coupling and biological theory in stored grain ecosystems,the author team proposed the continuity,periodicity and coordination principles of the digital supervision of grain reserves,and further proposed 7 intelligent strategies using the big data analysis of grain situation and the intelligent analysis method of 10 modes of grain storage in the granary.In combination with the application cases of 10 provinces that participated in the policy oriented inventory check of grain reserves organized in 2018,this paper analyzes the principle of digital supervision of grain reserves and 7 intelligent methods,which will accelerate the transformation and large-scale promotion of relevant technological achievements,and accelerating the construction of a high-quality technical system for grain reserves supervision.This digital intelligence method will promote the transformation of grain reserve management from“human management"to"technology management”,and let data play its due role in grain reserve decision-making and management.
作者
吴文福
乌云山丹
陈凯
崔宏伟
张忠杰
尹君
许启铿
吴晓明
WU Wen-fu;Wuyunshandan;CHEN Kai;CUI Hong-wei;ZHANG Zhong-jie;YIN Jun;XU Qi-keng;WU Xiao-ming(College of Biological and Agricultural Engineering,Jilin University,Changchun,Jilin 130022,China;School of Grain Science and Technology,Jilin Business and Technology College,Changchun,Jilin 130507,China;Grain Storage and Transportation Research Institute,Academy of National Food and Strategic Reserves Administration,Beijing 100037,China;College of Civil Engineering and Architecture,Henan University of Technology,Zhengzhou,Henan 450001,China;Tianjin Minglun Electronic Technology Co.,Ltd,Tianjin 300392,China)
出处
《粮油食品科技》
CAS
CSCD
2023年第2期11-17,共7页
Science and Technology of Cereals,Oils and Foods
基金
国家重点研发计划(2016YFD0401001,2017YFD0401003-3)。
关键词
储备粮
监管
机理/数据联合驱动
智能策略
模态分析
grain reserve
supervision
mechanism/data joint drive
intelligent strategy
modal analysis
