Business Data Clustering Analysis of Power Internet of Things Platform Based on Improved K-Means

The construction of smart IoT platform to support the digital power grid pushes the company's smart IoT system construction to a higher level. It is urgent to carry out the research on the application and management mechanism of smart IoT platform construction, to provide normative guidance for the company's smart IoT system construction. In the power distribution area, device management data connected to the IoT management platform, and service data distributed to the main power distribution station after connected to the IoT management platform. However, there are many kinds of data. In order to better classify the data in forwarding, this paper proposes a data clustering analysis algorithm based on Canopy improved K-Means. Experimental results show that this method can classify the number of services well and achieve fast forwarding.