Design Of The Intelligent Meter Of Malignant Load Identification Based On Wavelet Analysis

In recent years, many university student apartment fire frequently, which causing casualties and enormous damage school property, causing great importance attach by the relevant state departments and universities. Survey shows that the main reason for the fire accident in the apartment of students caused by the use of prohibited electrical. In order to avoid similar incidents frequently, various colleges and universities issued a corresponding management policies and take certain measures. Although the fire frequency gets lower than the original, but still vicious fires each year, there is no fundamental solution to the problem of fire accidents. For the reasons above, in this paper, we load identification based on wavelet theory, the application of effective control of prohibited electrical appliances, find the fundamental solution to the internal use of prohibited apartment fire caused by electrical problem. Therefore, this research has important theoretical and applied significance.Wavelet analysis is a new mathematical analysis method emerging in recent years, it has "adaptive nature" and "mathematical microscope nature", that is of high frequency resolution and lower time resolution in low frequency part, of the high time resolution and lower frequency resolution the high frequency part., has the uncompared advantage of Fourier analysis in signal analysis. The smart meters of the malignant load identification based on wavelet analysis designed to identify the wavelet function focuses on the establishment and the load control circuit of two parts. In this paper, we identified from the wavelet theory in the application of the load, the circuit design of DSP-based identification of the wavelet parameters and load testing three starting vicious wavelet analysis based load identification smart meters in depth the key technology research and design of the system, the main work and research results are as follows:1,Established the Dmeyer wavelet function of the load identification mechanism. Through the comparison of different wavelet functions, identify the specific characteristics of the load, select the Meyer wavelet function, and to determine the value of the specific characteristics of recognition.2,Established a DSP-based architecture of smart meters. Designed anti-aliasing filter circuit, phase lock circuits, and data acquisition conversion circuit, completed the hardware architecture.3,Established the parameters of different wavelet load. Apartments of various loads on current and voltage characteristics analysis to identify the parameters of its recognition of the wavelet.Experimental results show that the proposed research methods and measures are feasible. The results not only in the smart meter can be applied to the load identification, and can be applied to the need to identify the nature of the other circumstances the load...