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Enterprise re-work auxiliary judgment method based on electric power big data analysis

A technology of big data and electricity consumption data, applied in data processing applications, instruments, character and pattern recognition, etc., can solve the problems of concealment, false reporting, low efficiency, low accuracy, etc., to achieve improved efficiency, high efficiency, The effect of improving accuracy

Active Publication Date: 2020-10-16
STATE GRID ZHEJIANG ELECTRIC POWER +1
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Problems solved by technology

[0002] At present, to determine whether a company has resumed work, it is necessary to carry out door-to-door inspections one by one, which is inefficient, and there are interferences from human factors, there may be concealment and false reporting, and the accuracy rate is low

Method used

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  • Enterprise re-work auxiliary judgment method based on electric power big data analysis
  • Enterprise re-work auxiliary judgment method based on electric power big data analysis
  • Enterprise re-work auxiliary judgment method based on electric power big data analysis

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Embodiment Construction

[0032] The technical solution of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0033] The present invention comprises the following steps:

[0034] 1) Obtain the relevant electricity consumption data of the corresponding user;

[0035] Collect data from the four dimensions of users' electricity consumption attributes, voltage levels, industry classifications, and administrative regions. The electricity consumption data include: the collection of the user's daily consumption during the period before and after the Spring Festival in the current year, the previous year, and the previous two years. electrical data;

[0036] 2) User grouping based on the K-medoids algorithm;

[0037] Separately count the electricity consumption ratio of each category of users during the Spring Festival, combine the industry and electricity consumption category, and use the K-medoids algorithm to cluster the users, so as to group t...

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Abstract

The invention discloses an enterprise rework auxiliary judgment method based on electric power big data analysis, and relates to an enterprise rework judgment method. At present, whether an enterpriserestarts to work or not needs to be checked home by home, and the efficiency is low. The method comprises the following steps: acquiring related power utilization data of corresponding users, grouping the users based on the related power utilization data of the users and calculating a corresponding threshold value K, calculating the proportion of rework users in an area based on the calculated threshold value K, and finally obtaining an enterprise rework power index based on the calculated rework power proportion in the area. According to the technical scheme, an objective means is adopted, human factors are eliminated, the data accuracy is effectively improved, the efficiency is high, the real-time performance is high, the reworking condition of the day can be mastered, and the development of epidemic prevention and other work is facilitated. And a K-medoids algorithm is adopted to perform user grouping, so that the quickity and accuracy of classification are effectively improved.

Description

technical field [0001] The invention relates to a method for judging the resumption of work of an enterprise, in particular to an auxiliary judgment method for resumption of work of an enterprise based on the analysis of electric power big data. Background technique [0002] At present, to determine whether a company has resumed work, it is necessary to carry out door-to-door inspections one by one. The efficiency is low, and there is interference from human factors. There may be concealment and false reporting, and the accuracy rate is low. Contents of the invention [0003] The technical problem to be solved and the technical task proposed by the present invention are to perfect and improve the existing technical solutions, and to provide an auxiliary judgment method for enterprise resumption based on power big data analysis, so as to achieve the purpose of accurately judging the resumption of enterprise. For this reason, the present invention takes the following technic...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q50/06G06K9/62
CPCG06Q10/06311G06Q10/063114G06Q50/06G06F18/23213Y02D10/00
Inventor 郑斌吴国诚潘巍巍裘炜浩侯素颖杨世旺陈仕军金王英王伟峰叶盛许小卉马亮刘欢王迎卜
Owner STATE GRID ZHEJIANG ELECTRIC POWER
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