Residential user power consumption characteristic statistics method and system based on edge calculation

A technology of power consumption and statistical methods, applied in computing, data processing applications, instruments, etc., can solve problems such as the inability to better meet the needs of Internet of Things construction and development, the large operating pressure and delay of cloud service systems, and achieve rapid The effect of responding to the needs of residential users, reducing pressure and improving analysis efficiency

Pending Publication Date: 2019-08-23
陈述
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Problems solved by technology

This single purpose can no longer meet the needs of future Internet of Things construction and development, and after enriching the collected data, concentrating a large amount of data on the cloud for analysis will bring huge operating pressure and delay to the cloud service system
Therefore, the existing data collection and data application methods can no longer better meet the needs of the construction and development of the Internet of Things

Method used

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  • Residential user power consumption characteristic statistics method and system based on edge calculation
  • Residential user power consumption characteristic statistics method and system based on edge calculation
  • Residential user power consumption characteristic statistics method and system based on edge calculation

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Embodiment Construction

[0015] In order to make the objectives, technical solutions and advantages of the present invention clearer, the following further describes the present invention in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention, but not to limit the present invention.

[0016] Such as Figure 1 ~ Figure 3 The illustrated method for statistics of residential users' electrical energy consumption characteristics based on edge computing includes the following steps: 1) Data collection, real-time statistics of electricity consumption data through smart metering devices, and storage of energy consumption data in a data storage unit; 2) The collection of electricity consumption, data storage, and data edge analysis adopt a unified collaborative command configuration. When the data collection frequency is adjusted, the data storage unit adjusts the data storage freq...

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Abstract

The invention discloses a residential user power consumption characteristic statistics method and system based on edge calculation. The method comprises the following steps: 1) performing data acquisition; 2) collecting power consumption, storing data and analyzing data edges by adopting a unified cooperative instruction; 3) enabling the data storage module to perform data storage period configuration; 4) enabling the data storage module to respond to a far-end (cloud platform system) data demand instruction; 5) data analysis: enabling a data edge analysis unit to carrty out statistical analysis on the data in the data storage module; 6) generating a report, and after the data edge analysis unit completes statistical analysis, and generating a digital statistical report according to a prefabricable characteristic analysis report generation period. The system comprises a data acquisition unit, a data storage unit, a data edge analysis unit, a cloud platform system, a wireless transmission module and a resident user mobile terminal, and can improve resident electricity consumption characteristic analysis efficiency and quickly respond to resident user requirements.

Description

Technical field [0001] The present invention relates to the technical field of electric energy statistics, in particular to a method and system for statistic of electric energy consumption characteristics of residential users based on edge computing. Background technique [0002] In my country, with the gradual improvement of people's living standards, the proportion of residents' energy consumption in social energy consumption is increasing. Electricity is the largest energy consumption product among residents' daily energy consumption. By optimizing electric energy meters, edge computing can be used to analyze residents' electric energy consumption characteristics to provide residents with energy consumption suggestions. [0003] At present, the construction of the Internet of Things system of the power grid company is in its infancy, and the main role of electricity collection for residents' electric energy still remains in the electric energy billing. Such a single use can no ...

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Application Information

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IPC IPC(8): G06Q10/06G06Q50/06
CPCG06Q10/0639G06Q10/06315G06Q50/06
Inventor 陈述
Owner 陈述
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