A real-time reconstruction method of smart meter data based on compressed sensing

A smart meter and compressed sensing technology, applied in transmission systems, electrical components, code conversion, etc., can solve problems that do not meet real-time requirements, and achieve the effect of reducing transmission costs and reducing dimensions
CN109040002AActive Publication Date: 2018-12-18FOSHAN SHUNDE SUN YAT SEN UNIV RES INST +2
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
FOSHAN SHUNDE SUN YAT SEN UNIV RES INST
Publication Date
2018-12-18

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Abstract

The invention discloses a real-time reconstruction method of smart meter data based on compressed sensing, includes the following steps: S1: the transmission model of meter data based on real-time compressed sensing is mainly composed of three parts: smart meter, access point and control center; S2: compression sensor-automatic encoder proposed in this invetion is mainly composed of two parts: compression encoding and reconstruction encoding; S3: in the signal compression encoding part, data are mainly compressed to reduce the circuit communication link; S4: when signal reconstruction encodingis performed,the time consumed is very short, so that the method is very suitable for the transmission of smart meter data with high real-time requirements.
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Description

technical field

[0001] The invention relates to the field of smart grids, in particular to a method for real-time reconstruction of smart electric meter data based on compression sensing. Background technique

[0002] With the construction of smart grid, more and more smart meters are installed. According to reports, in 2022, the smart meter data around the world is expected to reach 1.1 billion. Typically, smart meters collect data every 30 minutes or at a higher frequency, so a large number of smart meters will generate a large amount of data. However, smart meter data is transmitted over a power line communication link. The power line communication link is a communication link with limited bandwidth. Therefore, transmitting a large amount of smart meter data will cause problems of transmission delay and data packet loss. This brings huge challenges to the real-time transmission and monitoring of the smart grid.

[0003] In recent years, Donoho, Candes and Tao et al. ...

Claims

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