Fuel cell data analysis system based on data relevance and electronic equipment

A data analysis system and fuel cell technology, applied in database management systems, visual data mining, structured data browsing, etc., can solve problems such as unclear data association items, and achieve data non-interference and interactivity, The effect of reducing the amount of calculation and improving the prediction accuracy

Pending Publication Date: 2022-04-26
国家电投集团氢能科技发展有限公司
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Problems solved by technology

The system defines the association rules between data at all levels of fuel cells, which facilitates the extraction of corresponding data according to data analysis requirements, improves the efficiency and accuracy of data analysis, and solves the problem of data association items in the application process of big data analysis in the field of fuel cells. unclear question

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  • Fuel cell data analysis system based on data relevance and electronic equipment
  • Fuel cell data analysis system based on data relevance and electronic equipment
  • Fuel cell data analysis system based on data relevance and electronic equipment

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Embodiment Construction

[0032] Embodiments of the present application are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary, and are intended to explain the present application, and should not be construed as limiting the present application.

[0033] It should be noted that due to the large number of components and parameters in the fuel cell, many mechanisms of the battery have not been fully understood. In the process of big data analysis of the fuel cell, data screening and noise reduction are very important. However, the applicant found that in order to perform reliable big data analysis on fuel cells, it is necessary to determine the correlation of fuel cell data and to update the correlation continuously with deepening knowledge in practical applications. Fo...

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Abstract

The invention discloses a fuel cell data analysis system based on data relevance and electronic equipment, and the system comprises a fuel cell big data storage module, an associated information storage module and a data analysis module, the data storage module is used for storing part parameters, research and development data, production data and real-time operation data of the fuel cell; the associated information storage module is used for generating and storing associated information among multiple layers of target data corresponding to the fuel cell according to the data stored by the fuel cell big data storage module, and storing a theoretical model of the fuel cell; and the data analysis module is used for constructing a plurality of neural network models according to the associated information and the theoretical model, and performing data analysis and fault prediction on the fuel cell through the plurality of neural network models. According to the system, the association rules among all levels of data of the fuel cell are defined, corresponding data can be conveniently extracted according to data analysis requirements, and the efficiency and accuracy of data analysis are improved.

Description

technical field [0001] The present application relates to the field of fuel cell technology, in particular to a data correlation-based fuel cell data analysis system and electronic equipment. Background technique [0002] A proton exchange membrane fuel cell (PEMFC) is a device that directly converts the chemical energy of hydrogen fuel into electrical energy. At present, proton exchange membrane fuel cells have been increasingly widely used in many fields such as transportation, distributed power generation and industrial production due to their advantages such as high efficiency, high power density, environmental friendliness, light weight and abundant resources. One of the new power generation devices in the foreground. In the field of fuel cell materials, scientific research on predicting material performance through machine learning has shown great potential, and in order to improve the competitiveness of fuel cells, the use of big data analysis for material screening,...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/215G06F16/25G06F16/2457G06F16/26G06K9/62G06N3/04G06N3/08G06N5/02
CPCG06F16/215G06F16/252G06F16/2457G06F16/26G06N3/08G06N5/025G06N3/045G06F18/214
Inventor 王晓荷杨建兴熊思江李松乔贾子璇陆维
Owner 国家电投集团氢能科技发展有限公司
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