一种基于并行聚类的温室天窗开度预测方法
发布时间：2019-03-22 12:43
【摘要】：为了处理大量分布式存储的农业环境数据,实现农业设施智能控制,基于内存计算框架Spark提出一种并行化的Dirichlet过程混合模型聚类方法,对农业环境及设施数据进行训练得到预测模型,执行对温室大棚天窗开度的预测任务。通过对比实验验证了模型预测的可行性,对预测正确率进行统计,并测试了所提出的并行化聚类的执行效率。实验结果表明,提出的方法具有较高的执行效率及准确性。
[Abstract]:In order to process a large amount of distributed storage of agricultural environment data and realize intelligent control of agricultural facilities, a parallel hybrid model clustering method of Dirichlet process is proposed based on memory computing framework Spark. The forecast model of agricultural environment and facility data was trained, and the forecast task of greenhouse skylight opening was carried out. Through the comparison experiment, the feasibility of the model prediction is verified, the accuracy of the prediction is counted, and the execution efficiency of the proposed parallel clustering is tested. The experimental results show that the proposed method has high efficiency and accuracy.
【作者单位】： 上海大学机电工程与自动化学院;上海市电站自动化技术重点实验室;
【基金】：上海市科委重点项目(14DZ1206302)
【分类号】：S625;TP311.13
，
本文编号：2445598
[Abstract]:In order to process a large amount of distributed storage of agricultural environment data and realize intelligent control of agricultural facilities, a parallel hybrid model clustering method of Dirichlet process is proposed based on memory computing framework Spark. The forecast model of agricultural environment and facility data was trained, and the forecast task of greenhouse skylight opening was carried out. Through the comparison experiment, the feasibility of the model prediction is verified, the accuracy of the prediction is counted, and the execution efficiency of the proposed parallel clustering is tested. The experimental results show that the proposed method has high efficiency and accuracy.
【作者单位】： 上海大学机电工程与自动化学院;上海市电站自动化技术重点实验室;
【基金】：上海市科委重点项目(14DZ1206302)
【分类号】：S625;TP311.13
，
本文编号：2445598
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