Various types of multitasking data and huge data stream have led to poor control ability and in-crease the access burden and communication overhead of the Internet of Things.In order to improve data stream stability and standardize data stream access process,a multitasking data control method based on da-ta stream clustering algorithm is proposed.Firstly,the data collection and monitoring system is used to ob-tain the data stream of the Internet of Things from the three aspects of identification,collection and verifica-tion.Then,the Euclidean distance between the dynamic trends of each data stream is calculated to make the measurement standard of data stream similarity uniform.The optimized data stream is substituted into the clustering algorithm,and reasonably correspond to the task request according to the timestamp of the da-ta stream.Finally,the PLC controller is used to realize multitasking data control.The experiment results show that the proposed method has high scalability and high speedup ratio.
关键词
数据采集与监视系统/数据流预处理/相似度衡量标准/聚类算法/PLC控制器
Key words
data acquisition and monitoring system/data stream preprocessing/similarity measurement standard/clustering algorithm/PLC controller
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