V-I graph sample data set screening method for non-invasion load monitoring

A load monitoring, non-intrusive technology, applied in the field of data screening, can solve the problems of unavailable V-I trajectory map sample data, noise interference, etc., to achieve the effect of improving recognition accuracy and recognition efficiency, and increasing the content rate

Active Publication Date: 2019-06-28
SOUTHWEST JIAOTONG UNIV
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Problems solved by technology

[0006] In view of the above-mentioned deficiencies in the prior art, the V-I diagram sample data set screening method for non-intrusive load monitoring provided by the present invention solves the problem that the actually measured stable operation data of household appliances has The problem that a large number of V-I trajectory sample data is unavailable due to noise interference

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[0044] The specific embodiments of the present invention are described below so that those skilled in the art can understand the present invention, but it should be clear that the present invention is not limited to the scope of the specific embodiments. For those of ordinary skill in the art, as long as various changes Within the spirit and scope of the present invention defined and determined by the appended claims, these changes are obvious, and all inventions and creations using the concept of the present invention are included in the protection list.

[0045] Such as figure 1 As shown, a V-I diagram sample data set screening method for non-intrusive load monitoring, including the following steps:

[0046] S1. Select electrical equipment and use it as the equipment to be tested during non-intrusive load monitoring.

[0047] S2. When the device under test enters the steady-state working mode, collect current and voltage amplitude data of all the devices under test during o...

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Abstract

The invention discloses a V-I graph sample data set screening method for non-invasion load monitoring. The method is characterized in that the non-invasion home appliance load monitoring is used as the background, the problem that actually-measured home appliance stable running data is subjected to noise interference which causes that a large amount of V-I track graph sample data is available is solved. According to the method, the acquired V-I property graph sample data set is optimized before building a data set of a deep learning network so that the content of properties of key surface feature information of the data set is increased, and the home appliance recognizing accuracy and recognizing efficiency are improved.

Description

technical field [0001] The invention belongs to the technical field of data screening, and in particular relates to a method for screening V-I diagram sample data sets for non-invasive load monitoring. Background technique [0002] With the development of society and economy, the proportion of energy consumption among residential users has increased year by year in recent years. The top priority is to improve energy utilization efficiency and effectively save energy, and the key measure to improve energy efficiency and save energy is to accurately understand the specific situation of energy consumption. Load monitoring can help residential users effectively save energy and reduce the Energy consumption, and cooperate with the power grid company in power management and power grid optimization, which is also in line with the requirements of the current conservation and environmental protection society. [0003] Traditional intrusive compliance monitoring (ILM) cannot meet the...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/00G06K9/62
Inventor 余志斌陈红宋吉聪
Owner SOUTHWEST JIAOTONG UNIV
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