| The electric parameter detection technology is mainly used to detect various power parameters during the operation of the power system and record them in detail.The existing full-featured electric parameter detector can measure various electric parameters such as power factor and phase angle,and is often used in complicated scenes such as power supply stations and power transmission and transformation equipment.With the increase in the variety of household appliances,the household electricity environment is becoming more and more complicated.At the same time,with the popularization of Internet of Things technology,many smart home appliances have networking functions,and remote monitoring of their electrical parameters through the Internet can make good use of smart home appliances.Based on the above two points,this paper intends to remotely monitor the electrical parameters of household electrical loads and identify their load types.This also has certain reference value for realizing home-wide power quality management control.This paper first studies the mathematical model and the simulation of the appliance recognition algorithm of the electrical parameter detection system.A simulation model is designed to generate electrical parameters of different characteristics.The conventional parameters and Fourier transform are used to obtain the power parameters and harmonic parameters of the electrical parameters.The characteristic parameters are selected to form the electrical parameter feature vector and the database of load is constructed.A well-designed appliance recognition algorithm is used to identify the corresponding household electrical load type,implement the aforementioned process on the simulation platform and verify the recognition result.Based on the construction of the database of load and analysis of its spectral characteristics,the implementation scheme is given in this paper,which can be divided into three parts: hardware circuit design,system software design,system verification and analysis.The hardware circuit design includes the selection of components and the construction of the DSP hardware platform.The software design part includes the realization of the electric parameter algorithm and the appliance recognition algorithm on the hardware platform,the writing and debugging of the WiFi wireless transmission control program and the terminal display program.The system verification and analysis specifically includes the test and analysis of the electric parameter sensor module and the ADC sampling module,the verification of the recognition result of the main control system,and the verification of the remote monitoring function by using the wireless terminal to run the terminal display software.The final test results show that the system can accurately identify the existing load in the database of load,and can remotely transmit the load type to the wireless terminal for display through the WiFi network.At the end of this paper,the research and design work of the whole load electric parameter remote monitoring system are summarized,and the shortcomings are pointed out.The future research directions of electric parameter detection and appliance recognition technology for household electric load are prospected. |