Small and micro enterprise rework rate evaluation method based on electric power data grading empowerment

A technology of power data and power data, which is applied in the field of evaluation of the resumption rate of small and micro enterprises based on power data classification and empowerment, can solve problems such as vacancy of office production sites, judgment errors, small and micro enterprises periodicity, and lack of awareness of fragmentation, etc., to achieve The effect of saving computing power

Active Publication Date: 2020-09-18
国网浙江省电力有限公司营销服务中心 +1
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  • Application Information

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Problems solved by technology

[0004] The present invention solves the problem that the prior art for the evaluation of the resumption of work and production of small and micro enterprises is often too simple. As long as there is no electricity or very little electricity, it is judged that work has not resumed, and it is considered that ther

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  • Small and micro enterprise rework rate evaluation method based on electric power data grading empowerment
  • Small and micro enterprise rework rate evaluation method based on electric power data grading empowerment
  • Small and micro enterprise rework rate evaluation method based on electric power data grading empowerment

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[0057] Example 1:

[0058] A method for evaluating the resumption rate of small and micro enterprises based on power data classification and weighting (see attached figure 1 ),

[0059] It includes the following steps:

[0060] Step 1: Obtain the historical electricity value of the enterprise and enterprise information data through the electric power big data platform;

[0061] Step 2: Select the company based on the average value of the company's historical power value and corporate information data, and select the companies that meet the set conditions through multi-dimensional power data cluster analysis;

[0062] Step 3: Take the historical electricity value of the enterprise as a parameter, and evaluate it according to the power data classification method;

[0063] Step 4: Display all the evaluation results;

[0064] In step 3, the evaluation based on the power data classification and weighting method includes the following sub-steps (see appendix figure 2 ):

[0065] Evaluation sub...

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Abstract

The invention relates to a small and micro enterprise rework rate evaluation method based on electric power data grading empowerment, which solves the problems in the prior art, and is characterized by comprising the following steps: step 1, acquiring historical electric quantity values and enterprise information data of enterprises through an electric power big data platform; 2, selecting enterprises according to the mean value of the historical electric quantity values of the enterprises and the enterprise information data, and selecting the enterprises meeting set conditions in a multi-dimensional electric quantity data clustering analysis mode; 3, taking the historical electric quantity value of the enterprise as a parameter, and carrying out the evaluation in a mode of grading and weighting the power data; 4, all evaluation results are displayed; in the step 3, evaluation based on a power data grading empowerment mode comprises the following sub-steps: obtaining shutdown enterprise screening conditions, screening out shutdown enterprises, and calculating an enterprise rework rate.

Description

technical field [0001] The invention belongs to a method for evaluating the resumption rate of small and micro enterprises, and in particular relates to a method for evaluating the resumption rate of small and micro enterprises based on power data classification and weighting. Background technique [0002] At the end of 2019, the new crown virus pneumonia caused a large number of enterprises to suspend work for a long time. Therefore, for the power grid load, the monitoring of the resumption of work and production of enterprises has great reference significance for policy formulation and guidance, and it can respond The intuitive performance of the current social status, but the general large-scale production enterprises are relatively easy to monitor, while the general small and micro enterprises are in a situation that is difficult to monitor due to the influence of various objective factors such as scattered data and uncertain cycles. , Many small and micro enterprises ar...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q50/06
CPCG06Q10/06393G06Q50/06
Inventor 李熊杜蜀薇陈彤沈百强王锦志谢裕清蒋颖
Owner 国网浙江省电力有限公司营销服务中心
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