Multitasking data control method based on data stream clustering
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.
data acquisition and monitoring systemdata stream preprocessingsimilarity measurement standardclustering algorithmPLC controller
万方数据
维普
