Power based event detection for electrical appliances

Appliance specific energy monitoring is perceived as a prerequisite for reducing energy usage in households.In this paper, a non intrusive monitoring method is introduced, and a power identification algorithm based on transient detection is introduced. Then the simulation experiment is carried out by using different analysis methods. In order to improve the accuracy of the opening and closing of smart grid and adapt to the development trend of recognition of household appliances, based on this algorithm is put forward in the circuit current, power and other parameters combined with information, if the average power of several cycles of adjacent difference changes different from the baseline, a fixed threshold is exceeded. This event will be recorded, and based on the MATLAB platform, the household appliances simulation, test data, the algorithm was verified, the results show that the proposed method to detect electric power has a good recognition results. Introduction Reducing energy consumption is an imperative, nationally, commercially, and individually. However, energy conservation is challenging, one of the major reasons being consumers’ lack of awareness about energy usage patterns [1].As a first step towards energy conservation and emission reduction, in terms of energy use, a higher transparency in place of the traditional hidden nature of the trend must be generated.As a first step towards energy conservation and emission reduction, in terms of energy use, a higher transparency in place of the traditional hidden nature of the trend must be generated. With the improvement of people's living standard, household consumption is also growing, which increases the peak valley difference, cause a lot of waste of energy, has a great impact on the power grid. Then, the household electricity management becomes very important. The household electricity monitoring system not only can solve the situation of electricity users on their understanding of the problem, it is very important to reduce the energy consumption has the significance[2,3]. Non intrusive electrical load monitoring (NILM) is considered to be the most promising and scalable solution for obtaining home appliance specific energy information. For household appliances power consumption monitoring in two ways: one is invasive monitoring method[4], the installation of voltage and current sensor in power supply port of each household appliance, the disadvantage is the high price, complex installation; the other is a non-invasive method for monitoring [6], the voltage and current sensors installed in the client only the user, real-time acquisition of the voltage and current data were analyzed by software, to determine the electricity consumption of household appliances[7]. Non invasive and invasive method of monitoring electrical appliance monitoring methods, the former investment cost is low, and the monitoring device can continuously capture every moment of load information, it is suitable for online applications. With the rapid development of the electronics industry and software industry, The authors in [8,9] ,propose the software and hardware realization of power load monitoring system based on embedded processor, but did not propose specific electricity monitoring method. At present, the United States and Japan are in the non intrusive online monitoring research, domestic research in this area is very little, is in the theoretical experimental stage. In this paper, we use the power to detect the switching event of a household appliance. In general, an event detector algorithm is used to find the variation of the power signal between the two stable states. According to the power difference 4th International Conference on Machinery, Materials and Information Technology Applications (ICMMITA 2016) Copyright © 2017, the Authors. Published by Atlantis Press. This is an open access article under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/). Advances in Computer Science Research, volume 71