Multi-dimensional Analysis of Abnormal Information in Electric Energy Metering Devices Based on Big Data
With the development of China's smart grid construction,the intelligence of electric energy metering equipment has been significantly enhanced.The establishment of an electric energy metering automation system has facilitated the collection of relevant data,thereby increasing the volume of data generated by electric energy metering devices.The primary research focus is on how to extract value from this data in a scalable manner.Big data offline processing technology based on the Hadoop framework enables distributed computing and storage of data,although computational speeds can vary.However,the multi-dimensional analysis of abnormal information from electric energy metering devices is constrained by timeliness,making the rapid analysis of such abnormal information a key research area.
NETL
NSTL
万方数据
