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Industrial economy development condition monitoring method based on energy power big data

A technology of industrial economy and development status, applied in the direction of digital data processing, data mining, data processing applications, etc., can solve the problems of single evaluation method, difficult to accurately analyze the status quo of economic development, etc., and achieve the effect of solving the effect of low data quality

Pending Publication Date: 2022-02-18
SHANGHAI MUNICIPAL ELECTRIC POWER CO
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Problems solved by technology

[0006] Existing research methods and evaluation methods are relatively single phenomena, only using entropy weight analysis, dynamic prediction analysis of development trends, or some analysis methods in correlation analysis, it is difficult to achieve accurate analysis of the current status of economic development

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  • Industrial economy development condition monitoring method based on energy power big data
  • Industrial economy development condition monitoring method based on energy power big data
  • Industrial economy development condition monitoring method based on energy power big data

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Embodiment Construction

[0033] In order to better understand the technical solution of the present invention, the following will be described in detail through specific examples:

[0034] The method for monitoring industrial economic development status based on big data of energy and electric power of the present invention revolves around big data analysis, from data extraction, data processing, to data output, with huge data processing volume, high model utilization rate, and strict calculation formula logic . Systematic data processing and visual analysis together constitute an industrial economic monitoring method, which specifically includes the following steps:

[0035] Step 1: Construction of the power indicator evaluation system. According to the government's industrial economic policy guidelines, documents in related fields and the interpretation of the index connotation, analyze the evaluation criteria of the industrial economic development status, the details of the evaluation objects, and...

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Abstract

The invention discloses an industrial economy development condition monitoring method based on energy power big data. The method comprises the following steps: step 1, constructing a power index evaluation system; step 2, carrying out industrial economy data extraction according to a power index evaluation system of industrial economy, including data extraction code writing, system data extraction and mass data merging, so that basic data required by model calculation is formed; step 3, giving a reasonable decision index weighting method according to an internal statistical rule and an authority value between the basic data; step 4, according to the economic model, carrying out running calculation on the basic data to obtain an index weight and a bottom-layer index score, and according to the index weight and the bottom-layer index score, carrying out index calculation by using an index calculation formula; and step 5, carrying out data reorganization again according to the index score, and mining generality and personality laws shown in the data. According to the method, the industrial development condition can be accurately analyzed in the electric power field.

Description

technical field [0001] The invention relates to the field of industrial economic power data monitoring, in particular to a method for monitoring industrial economic development status based on energy and power big data. Background technique [0002] On the whole, the current dynamic evaluation methods of industrial economic development are relatively rich, and the evaluation angles are different, but there is no precedent for dynamically evaluating the industrial economic development status from the perspective of electric power and using electric power big data for correlation analysis and dynamic evaluation. [0003] For example, a social and economic development monitoring method based on nighttime light remote sensing data (application number 202110139653.8) discloses a social and economic development monitoring method based on nighttime light remote sensing data. ), light growth rate (DN-G), maximum light brightness (DN-M) and area with light brightness greater than 7. ...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q50/06G06F16/2458G06F16/25
CPCG06Q10/06393G06Q50/06G06F16/2465G06F16/254G06F2216/03
Inventor 戴璐平沈嘉怡张飞飞
Owner SHANGHAI MUNICIPAL ELECTRIC POWER CO
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