Electrical load classification method and system based on load characteristic visualization

Abstract

The invention discloses an electrical load classification method based on load characteristic visualization. The method comprises the following steps of: acquiring voltage data and current data of electric equipment in a steady state, filtering and sampling the voltage and current data, reserving the current data and the voltage data of one period by taking a voltage zero-crossing rising point asa starting point, and adding a column of self-increasing sequence of which the length is a one period sampling point number as time data to respectively obtain processed current data, voltage data andtime data of the electric equipment; performing Min-max standardization processing on the processed current data, voltage data and time data in sequence, further arranging a two-dimensional matrix according to a time domain sequence, and acquiring three processed grayscale images through a PIL (python image library). The electrical load classification method can solve the technical problems thatthe existing electrical load classification method is lack of time information, large in image redundancy, low in recognition accuracy, complex in calculation process and long in judgment time.

Description

technical field [0001] The invention belongs to the technical field of deep learning and pattern recognition, and more specifically relates to an electrical load classification method and system based on load characteristic visualization. Background technique [0002] With the development of economy and society, there are more and more types of electrical loads such as household appliances. By classifying and managing different electrical loads and applying Internet of Things technology to smart homes, it is the key to realize energy saving and improve power utilization in smart homes. [0003] The existing electrical load classification is mainly realized in the following two ways. The first is to use short-time Fourier transform, wavelet transform and other technologies to analyze the transient characteristics of the electrical load such as instantaneous power, transient current waveform and duration, and According to the analysis results, the classification of electrical...

AI Technical Summary

Problems solved by technology

[0005] Aiming at the above defects or improvement needs of the prior art, the present invention provides a method and system for classifying electrical loads based on visualization of load characteristics. Monitoring, which will increase the technical problem of energy consumption, and the technical problem that the traditional wavelet algorithm cannot achieve real-time classification due to the slow calculation speed and long time consumption, and the lack of time information due to the electrical load characteristics and the redundancy of the voltage-current trajectory image. Large technical problems that affect the classification accuracy, as well as the technical problems that the actual classification effect is poor due to the low recognition rate of the model calculated by the machine learning algorithm and the poor robustness and practicability of the model

Images