Detection device and detection method for series arc faults

Abstract

The invention discloses a detection device and a detection method for series arc faults. The detection device comprises a continuous current collection module, which is used for continuously collecting current at a fixed sampling rate through an A/D (Analog to Digital) converter, a signal preprocessing module, which is used for carrying out moving average processing on collected data, an arc fault processing and analyzing module, which is used for computing a rate of change of current, a sum of previous N harmonics and a harmonic time domain waveform effective value, identifying an arc according to the three variables and giving a corresponding command, a sound-light alarm module, a drive module and a tripping control module, which are used for deciding whether sound-light alarm is carried out and a circuit is disconnected according to the command of the arc fault processing and analyzing module, and a communication module, which is communicated with the exterior through an RS485 interface. According to the detection device and the detection method, a time domain and a frequency domain are together utilized to judge whether the arc fault occurs, and through analyzing and testing, the method has the advantages of simplicity in operation, easiness in implementation, low cost and misjudgment rate and high detection probability.

Description

technical field [0001] The invention relates to the field of electrical protection, in particular to a series fault arc detection device and detection method. Background technique [0002] With the rapid development of the economy and the continuous improvement of the quality of people's living standards, a large number of complex buildings have emerged, and their internal circuits have become more and more complicated, which has brought many new difficulties to fire prevention. The electrical lines and equipment (sockets, household appliances) in the house have poor electrical connections or the internal lines have been overloaded for a long time, so that the insulation layer of the wires is aging and the insulation effect is reduced, and arc faults may occur, and arc faults are easy to occur. Ignite the circuit or surrounding combustibles to cause an electrical fire. The US NEC (National Electrical Code) estimates that about 40% of residential fires are caused by arc faul...

AI Technical Summary

Problems solved by technology

Among them, the wavelet transform method is highly effective in detecting fault arcs, but the complexity of the algorithm is 1.5 times that of FFT; in the FFT+neural network method, the neural network needs to be repeatedly trained with a large amount of data to achieve more accurate detection, and the process is cumbersome.

The high-frequency current spectrum analysis method needs to collect waveforms at a frequency of 50kHz to 100kHz, which requires a higher sampling frequency and increases the cost

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