基于Apriori数据挖掘技术的粮情安全预测系统的研究与设计

Research and design of food security situation prediction system based on Apriori data mining algorithm

实现对粮情安全的预测、提高粮情检测的实时性,是降低粮食发霉变质等事故发生的重要保障.设计了一种基于Apriori数据挖掘算法的粮情安全预测系统,通过分析挖掘监控中心采集到的大量粮仓环境历史数据实现了精准预测,及早发现了粮仓的安全隐患,有效地防止了粮情检测不及时的问题.

The achievement of food security situation and the prediction of grain situation to improve real-time detection are important safeguard to reduce moldy food and other accidents. To solve this problem,we proposed and designed a data mining system based on Apriori algorithm to predict food security situation,and analyzed a lot of historical data collected from the monitoring center of barn environment,then achieved food security situation for accurate prediction. The system can detect security risks of the grain in the barn,thus effectively avoid the problem of food situation cannot be detected timely.