Electric heating subdivision method based on historical load recognition data under cloud-side collaborative architecture

A technology for identifying data and historical loads, applied to ohmic resistance heating parts, heating elements, etc., can solve problems such as no specific solutions

Active Publication Date: 2020-03-31
JIANGSU INTELEVER ENERGY TECH CO LTD
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  • Application Information

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Problems solved by technology

At present, only the electric heating category can be identified through non-invasiv

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  • Electric heating subdivision method based on historical load recognition data under cloud-side collaborative architecture
  • Electric heating subdivision method based on historical load recognition data under cloud-side collaborative architecture
  • Electric heating subdivision method based on historical load recognition data under cloud-side collaborative architecture

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Embodiment Construction

[0066] Below in conjunction with accompanying drawing and specific embodiment, further illustrate the present invention, should be understood that these embodiments are only for illustrating the present invention and are not intended to limit the scope of the present invention, after having read the present invention, those skilled in the art will understand various aspects of the present invention Modifications in equivalent forms all fall within the scope defined by the appended claims of this application.

[0067] Such as figure 1 As shown, the electrothermal subdivision method based on historical load identification data under this cloud-edge collaboration architecture includes the following steps:

[0068] Step 1: Obtain the fine-grained electricity load historical identification sample data of residential users under the cloud-edge collaborative architecture;

[0069] The fine-grained electricity consumption behavior data of residential users is obtained through the sma...

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Abstract

The invention discloses an electric heating subdivision method based on historical load recognition data under a cloud edge collaborative architecture. The method comprises the steps of collecting power load historical recognition result sample data, extracting electric heating recognition result data, summarizing and counting, obtaining recognition data of resident users in the next day, extracting the electric heating recognition result data, and obtaining electric heating recognition results. And performing statistical calculation on the data, judging whether the data meets an electric heating subdivision rule or not, if so, refining the electric heating label of the resident user in the day into a specific label, and updating and summarizing statistical data to enable the statistical data to participate in the electric heating refining of the next day and the like. Combined electric kettle, the invention discloses power of an electric cooker, an electric oven and an electric waterheater. According to the cloud-side cooperative architecture, the electric heating large class is refined into the small class of electric appliances under the cloud-side cooperative architecture, sothat a user can know the power utilization condition, reasonably arrange the starting time of the electric appliances and respond to the step electricity price, the electric energy consumption is reduced to the maximum extent, and corresponding auxiliary judgment can be made for fault diagnosis of the electric appliances.

Description

technical field [0001] The invention relates to an electrothermal subdivision method based on historical load identification data under a cloud-edge collaborative architecture, and belongs to the technical field of energy saving and environmental protection electricity utilization. Background technique [0002] Residential power load monitoring and decomposition technology is an emerging smart grid basic support technology. Unlike the current smart meter that only measures the total power of users, it monitors and decomposes the start-up time, working status, and energy consumption of all electrical appliances in the household. As the goal, so as to achieve more reliable and accurate electric energy management. The power load monitoring and decomposition technology makes the user's electricity bill list like a telephone bill list, and the power consumption of various household appliances is clear at a glance, so that users can know their own electricity consumption in a time...

Claims

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Application Information

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IPC IPC(8): H05B3/08
CPCH05B3/08
Inventor 邓士伟苗青洪佳燕
Owner JIANGSU INTELEVER ENERGY TECH CO LTD
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