Method and system for creating electric power user electric appliance fingerprint database

Abstract

The invention relates to a method and a system for creating an electric power user electric appliance fingerprint database. The method for creating the electric power user electric appliance fingerprint database comprises the following steps of S1, selecting typical and representative electric equipment and carrying out electricity consumption data acquisition on the electric equipment; S2, acquiring electrical characteristic information during operation of the electric equipment, namely, electric appliance fingerprints; performing analysis and calculation to obtain characteristic quantities including active power, reactive power and power factors of the electric equipment, and carrying out calculation by adopting FFT to obtain amplitudes and phase angles of harmonics; S3, associating obtained electric quantity characteristics and extracted time quantity characteristics with operation states of the corresponding electric equipment, and recording and storing data well; and S4, cleaningand checking the recorded data, deleting the bad data and complementing the missing data. According to the method and the system, the creation of the electric appliance fingerprint database is based on the second-level data, and the information such as the harmonics and time are integrated, so that the identification performance is improved, and the communication cost is reduced.

Description

technical field [0001] The invention relates to the field of creating a user electrical appliance fingerprint library, and more specifically refers to a method and a system for creating a fingerprint library of an electric user electrical appliance. Background technique [0002] With the rapid development of science and technology, all kinds of electrical equipment are more diversified, but each electrical equipment has its specific electrical characteristics. The existing electrical equipment identification and load monitoring do not have an accurate reference standard, resulting in the inability to The user's electricity consumption behavior is identified. [0003] The existing technical solution is to monitor and sample some commonly used electrical equipment, search and analyze the collected parameters such as voltage, current, and zero current, and then define different characteristic parameters according to the relevant data. Establish a standard feature library; this...

AI Technical Summary

Problems solved by technology

[0004] There is also an electrical feature fingerprint library that focuses on transients, which requires a higher sampling frequency to capture the transient characteristics of electrical features, which will result in a huge amount of data stored in the fingerprint library and pose a severe challenge to data storage. At the same time, it is not conducive to quickly complete load identification, high sampling frequency, high communication cost, and lack of systematic database integration

Images