Power Quality Inspection and Construction of Internet of Things

[[abstract]]The purpose of this paper is to establish a power quality inspection platform that allows users to understand the current status of electricity in real time. Firstly, Arduino is used as the data acquisition function to extract the mains power signal, and then the discrete Fourier series is used as the filtering model to extract the fundamental frequency signal in the power signal, and the frequency is calculated by the zero-crossing algorithm. Move situation. And the original data can be used to calculate rms value, as to determine whether there is power anomaly basis; fast Fourier transform can be applied to obtain signal spectrum distribution and amplitude ratio, which can analyze the power signal harmonic pollution situation, and calculate the total harmonic distortion. After the power signal is retrieved, the data will be sent to the database. The results of all kinds of power quality analysis will be saved. Users can observe the current power quality through the visual website. Because power events are less frequent in the general environment, this paper also uses simulate power anomaly signals to verify the functionality of the power detection platform, which proves that it is sufficient to display power quality information in general electricity