Intelligent Information Collection Method for Historical Electricity Con-sumption Data of Users Based on Internet of Things Technology
Currently,the setting of intelligent information collection nodes for user historical e-lectricity data is mostly independent,and the coverage of data collection is limited,resulting in a significant decrease in the collection unit speed.Therefore,this paper proposes the design and validation analysis of an intelligent information collection method for user historical electricity data based on Internet of Things technology.Based on current testing requirements and stand-ards,first clarify the coverage of historical electricity data collection,deploy multi-level sensor collection nodes,design an intelligent information collection model for IoT user historical elec-tricity data,and use distorted data automatic filtering to achieve information collection.The test results show that for the selected 6 test cycles,compared to the traditional regular autoencoder and Optuna optimization electricity data intelligent information collection test group,the tradi-tional B+search tree algorithm electricity data intelligent information collection test group,the collection unit speed of the IoT electricity data intelligent information collection test group can all reach above 8.5Mbps,indicating that with the assistance of IoT technology,The currently designed intelligent information collection method for user historical electricity consumption da-ta is more efficient and has practical application value.
Internet of Things technologyIntelligent informationInformation collectionMul-tidimensional collection methods
NETL
NSTL
万方数据
