Non-intruding type on-line and real-time electric power load identification method and identification system

Abstract

The invention belongs to the technical field of Internet of Things and big data and relates to a non-intruding type on-line and real-time electric power load identification method and identification system that can help solve technical problems such as unreasonable conventional design and the like. The method comprises the following steps: A real time electric power signals are obtained; B non-intruding type load identifying and analyzing operation is conducted; C, results are fed back. The system comprises at least one embedded device terminal connected onto a resident side electricity distribution box, the embedded device terminal is connected with a cloud terminal, the cloud terminal is connected with a background server, and the background server is connected with a data storage device and is capable of transmitting analysis results to the terminal device corresponding to the resident side electricity distribution box. The non-intruding type on-line and real-time electric power load identification method and identification system are advantageous in that resident side users can enjoy low cost, training can be performed without a number of labeled samples, the identification system is sensitive to small load electric appliances, electric energy oscillation problems can be solved, accuracy of load identification can be ensured, an overall energy solution can be provided for a household, and on-line and real-time effects are allowed via algorithm efficiency.

Description

technical field [0001] The invention belongs to the technical field of the Internet of Things and big data, and relates to electric energy consumption monitoring and state detection, in particular to a non-invasive online real-time electric load identification method and identification system. Background technique [0002] Load identification was proposed by Hart of the Massachusetts Institute of Technology in the 1880s. In order to alleviate global energy problems and environmental problems, load identification technology has been paid more and more attention recently. The purpose of load identification is to detect the energy consumption and real-time status of each electrical appliance in the home. Load identification can help power grid companies provide load-side response services and home appliance fault detection services for residents. Among them, load identification is divided into intrusive load monitoring technology and non-invasive load identification technolog...

AI Technical Summary

Problems solved by technology

[0003] Current load recognition technology has the following limitations: a large number of labeled samples are required for training; only large-load electrical equipment can be identified, such as refrigerators, air conditioners, etc.; due to the lack of a large number of training samples, the recognition accuracy is relatively low; hardware costs are high , cannot be deployed in residential quarters; the algorithm is not efficient, and usually cannot achieve real-time and online effects

[0004] Although the above solution optimizes the hardware architecture of non-intrusive power load monitoring and decomposition to a certain extent, it cannot fundamentally solve the technical problems existing in the existing technology

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