Data processing method for smart streetlamp energy consumption analysis systems based on data mining

Smart streetlamp as an important part of smart cities aiming at constructing cities with a higher level of intelligence, automation, information and network has been applied in urban construction widely and successfully. This paper presents a data processing method for smart streetlamp energy consumption analysis systems based on data mining, which is not only used to classify, recognize and correct problem data in energy consumption data, but also used in smart streetlamp energy consumption analysis systems for abnormal alarm, troubleshooting advice, energy consumption prediction, etc. It is necessary to process energy consumption data before energy consumption analysis, because the problem data might interfere the analysis and cause deviations and errors. Moreover, the method proposed is used to realize the functions of processing historical data and monitoring in this paper. Finally, the experimental result proves the availability and reliability of the method.