Big data analysis method and device based on hybrid energy data
A technology of mixing energy and analysis methods, applied in the computer field, can solve problems such as increasing the cost of energy plants and lack of technical solutions
Active Publication Date: 2022-02-11
武汉超云科技有限公司
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Problems solved by technology
However, reducing carbon dioxide emissions will increase the cost of energy plants, so there are some energy plants that modify carbon dioxide emission data to pretend to achieve the goal of carbon dioxide emission indicators
And prior art lacks the technical scheme that solves this phenomenon
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[0047] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.
[0048] refer to figure 1 , the embodiment of the present application provides a big data analysis method based on mixed energy data, including the following steps:
[0049] S1. The big data analysis server obtains the pre-bound first sample server and second sample server; wherein, the first sample server corresponds to the first energy plant, the second sample server corresponds to the second energy plant, and the first energy plant The factory is the upstream factory of the second energy factory;
[0050] S2. Send a first sample sensing data request message to the firs...
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This application discloses a big data analysis method based on mixed energy data, obtaining pre-bound first sample server and second sample server; obtaining the first sample sensing data group; obtaining the second sample sensing data group ; Perform binding and labeling processing to generate sample data marked with the first indicator, and call the deep neural network model, and train the deep neural network model to obtain the indicator prediction model; respectively obtain the first sensing data group and The second sensing data set, and obtain the second index; jointly input the index prediction model for processing to obtain the value of the predictive index, and calculate the difference between the value of the predictive index and the second index; if the difference is less than the preset threshold, then Judging that the hybrid energy plant is operating normally has achieved the purpose of distinguishing false data, which is conducive to the real realization of the goal of promoting carbon neutrality.
Description
technical field [0001] This application relates to the computer field, in particular to a big data analysis method and device based on mixed energy data. Background technique [0002] To achieve the goal of carbon neutrality, we need to start from two aspects, that is, we need to reduce the emission of carbon dioxide and increase the absorption of carbon dioxide. In terms of carbon dioxide emissions, energy plants account for a part of the proportion. These energy plants, such as petrochemical plants (oil refineries, etc.), and power plants (thermal power plants, etc.), will inevitably emit carbon dioxide during the production process. In order to achieve carbon neutrality, macro regulation is required to control the CO2 emissions of these energy plants as a whole. However, reducing carbon dioxide emissions will increase the cost of energy plants, so there are some energy plants that modify carbon dioxide emission data to pretend to achieve the goal of carbon dioxide emiss...
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IPC IPC(8): H04L67/12G06N3/04G06N3/08
CPCH04L67/12G06N3/08G06F2219/10G06N3/045
Inventor 裴雅琼
Owner 武汉超云科技有限公司