Household appliance operation state non-intrusive detection method based on intelligent electric meter data

Abstract

The invention discloses a household appliance operation state non-intrusive detection method based on intelligent electric meter data. The method comprises the following steps: collecting electricityutilization total power data of a user family and predicting consumption power data of an electric appliance; marking the running state of the electric appliance, and performing normalization processing on the acquired power data; building a deep learning network model; training the established LSTM deep learning network to obtain a trained LSTM network model; testing the trained LSTM network model, and checking the network prediction accuracy; collecting power data of any home-entry intelligent electric meter to serve as input of an LSTM network model, and detecting and recognizing the operation states of a plurality of household appliances. The method has a good effect on load operation state identification, compared with a common single prediction network, the training time of the network is greatly shortened, a good prediction effect can also be achieved for different regions by using transfer learning, and the method has very high value in production and life.

Description

technical field [0001] The invention relates to the field of household electricity, in particular to a non-intrusive detection method for the operating state of household appliances based on smart meter data. Background technique [0002] The energy issue is one of the greatest challenges faced by human beings in recent decades. With the development of science and technology and the improvement of people's living standards, we have also over-exploited the earth's resources. The use of electricity is a major factor in the sharp increase in energy consumption. According to the US Energy Consumption Data Book, 40% of primary energy consumption and 70% of power resource consumption come from indoors, so the potential for saving indoor electricity consumption is huge. [0003] After decades of R&D investment and construction, the State Grid has basically met the requirements of the ubiquitous Internet of Things on the grid side, but at the user terminals of the grid, the data gen...

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