Design of Power Marketing Big Data Acquisition System Based on Machine Learning
Traditional big data acquisition systems in power marketing cannot completely filter the input information,resulting in low acquisition efficiency and low data throughput.Therefore,a power marketing big data collection system based on ma-chine learning is designed.By establishing the data acquisition system structure of power marketing,this paper can flexibly control data processing by component technology,configure diversified interfaces for data interconnection,eliminate isolated islands of power information and realize data sharing.The inverter circuit of the driver is designed to counteract the change of common mode voltage.The machine learning algorithm is used to define the basic task of big data classification,convolution operation is used to filter the characteristic deviation of data,and data flow algorithm is used to collect power marketing data in a given order,thus completing the design of big data acquisition system.The experimental results show that the data acquisi-tion efficiency of this system is higher,and the data throughput is larger,which indicates that this system is more effective.
万方数据
维普
