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Power grid synthetic data index monitoring method and system based on big data platform

A big data platform and comprehensive data technology, applied in the field of comprehensive data indicator monitoring of power grids, can solve problems such as incompleteness

Pending Publication Date: 2018-03-30
STATE GRID LIAONING ELECTRIC POWER RES INST +2
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AI Technical Summary

Problems solved by technology

[0004] In order to overcome the above existing deficiencies, the present invention integrates scattered and heterogeneous business demand resources, and extracts implicit Among them, people do not know in advance, but potentially useful information and knowledge, so that the staff can quickly understand the situation in the business work, quickly adjust and optimize resources, enhance channel service capabilities, improve service quality, reduce work errors, In order to maximize the value of data, data analysis guides the business application process as follows:

Method used

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  • Power grid synthetic data index monitoring method and system based on big data platform
  • Power grid synthetic data index monitoring method and system based on big data platform
  • Power grid synthetic data index monitoring method and system based on big data platform

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Embodiment Construction

[0134] In order to overcome the above existing deficiencies, the present invention integrates scattered and heterogeneous business demand resources, and extracts implicit Among them, people do not know in advance, but potentially useful information and knowledge, so that the staff can quickly understand the situation in the business work, quickly adjust and optimize resources, enhance channel service capabilities, improve service quality, reduce work errors, In order to maximize the value of data, data analysis guides the business application process as follows:

[0135] Step 1. Obtain marketing business data, and obtain data such as user files, electricity consumption, customer service, and payment information through the data entry window of the marketing application software, collection terminal equipment, and smart payment terminal equipment (see figure 2 );

[0136] Step 2. Based on different business lines and business directions, each centralized department stores user...

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Abstract

The invention relates to a power grid synthetic data index monitoring method and system based on a big data platform, and belongs to the field of the power grid big data platform data monitoring. Themethod is capable of executing the index monitoring analysis to the electricity marketing business core index by using a quartile analytical method through a big data platform module, solving the current problem that 'the electricity marketing business scope is extensive and the exposure of the individual business aspect problem is slow', realizing 'data + business' double driving in a certain degree, and improving the working efficiency of the electricity marketing business.

Description

technical field [0001] The invention belongs to the field of data monitoring of a power grid big data platform, and relates to a method and system for monitoring comprehensive data indicators of a power grid based on a big data platform. Background technique [0002] The power marketing business data is very large, but the application of these data is currently limited to several traditional data applications such as business order circulation, business query, and report-based statistical work. Operational analysis data is only analyzed according to business classification, geographical classification, and index classification. Project data; there are analysts who are doing repeated phenomenon lists and data statistics. Each analysis is a fixed reason. It seems very specific and the analysis is very detailed. In fact, the reasons behind the data are not found. In-depth analysis of data and data Insufficient mining capabilities; operational analysis data is only output as a s...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q50/06
CPCG06Q10/0639G06Q50/06Y02E40/70Y04S10/50
Inventor 吕旭明王磊刘虎陈硕冉冉胡楠李桐许元斌黄文思罗义旺李金湖
Owner STATE GRID LIAONING ELECTRIC POWER RES INST
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