Power plant edge node data grouping and cleaning method and system

Abstract

The invention provides a power plant edge node data grouping and cleaning method and system, and relates to the technical field of power plant data grouping and cleaning, and the method comprises the steps: S1, obtaining power plant operation data on an edge device, the power plant operation data comprising power plant real-time operation data and power plant historical operation data; S2, grouping the historical operation data of the power plant; S3, training a data simulation model based on a BP neural network according to a grouping result of the historical operation data of the power plant, and storing the trained data simulation model in an edge device; and S4, cleaning the real-time operation data of the power plant in the step S1 according to the data simulation model in the step S3. According to the invention, efficient processing of power plant operation data can be realized.

Description

technical field [0001] The present invention relates to the technical field of power plant data grouping and cleaning, and in particular, to a method and system for data grouping and cleaning of power plant edge nodes. Background technique [0002] Building a smart power plant is based on smart power generation, through the integration and extension of power generation and other industries, to form a circular economy, improve the utilization rate of energy and resources, and undertake more functions of protecting the environment and serving the society. It can not only become a power plant to participate in the market economy It is also the requirement of the ecological environment construction and economic and social development in the new era for electric power enterprises. [0003] At present, the construction of smart power plants is the development direction of informatization in the power industry. Cleaning the operating data of power plants is a key step in the constr...

AI Technical Summary

Problems solved by technology

[0003] At present, the construction of smart power plants is the development direction of informatization in the power industry. Cleaning power plant operating data is a key step in building smart power plants. With the rapid increase in the amount of power plant operating data, centralized big data centered on cloud computing models The processing method is insufficient in terms of computing power, network delay, energy consumption, and privacy security, making it difficult to achieve efficient data processing

[0004] Therefore, the centralized data cleaning method in the prior art (the first page of the journal "Huadian Technology" in January 2017 disclosed the "Integrated Big Data Platform Method"), although it can realize the cleaning of power plant operating data , but with high latency in data transmission

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