Malicious load identifier and identification method

Abstract

The invention discloses a malicious load recognizer and a recognition method in the technical field of safe power utilization and energy conservation. The malicious load recognizer comprises an MCU, an electric energy measuring module, a storage module, an AD sampling module, a communication module and a relay control and detection module, wherein the electric energy measuring module, the storage module, the AD sampling module, the communication module and the relay control and detection module are connected with the MCU, and the modules respectively realizes the functions such as data collecting and processing, power measurement, data storage, waveform sampling, data communication and state control. The recognition method comprises the steps of starting, sampling, overpower threshold judgment, waveform data sampling, waveform separation, phase difference analysis, waveform similarity analysis, conductance value processing, sine wave judgment and malicious load processing. The malicious load recognizer and the recognition method are disclosed in allusion to the defects of poor recognition accuracy for a malicious load and inability of recognizing some malicious load devices in the prior art, are high in recognition accuracy and reduce the false judgment probability. Meanwhile, special malicious load equipment can be recognized according to the invention.

Description

technical field [0001] The invention relates to the technical field of safe electricity utilization and energy saving, in particular to a vicious load identifier and an identification method. Background technique [0002] In recent years, with the continuous expansion of the scale of colleges and universities, the number of students has risen sharply, and many colleges and universities have implemented the socialization of logistics management. At the same time, there have been more and more reports about fire accidents in college student apartments. According to relevant data, most of these fires are caused by students illegally using high-power resistive loads such as fast heating and electric stoves. In order to prevent such accidents, on the premise of ensuring the normal use of electricity by students, it is an urgent problem to limit the use of high-power resistive loads and ensure the safety of students' use of electricity. Therefore, the research on the identificatio...

AI Technical Summary

Problems solved by technology

[0007] However, the identification accuracy of the above three load identifiers is not high, and they cannot identify some special vicious load equipment, such as equipment with a truncated sine wave current curve, equipment with a sine wave current curve and a phase difference, etc.

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