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Method of energy big data acquisition key value extraction

A big data and energy-using technology, applied in data processing applications, electrical digital data processing, special data processing applications, etc., can solve the problems of low test efficiency, time-consuming and labor-intensive, etc., and achieve the effect of improving the overall operation level and good use value

Inactive Publication Date: 2017-02-08
国网天津节能服务有限公司 +2
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AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to overcome the deficiencies of the prior art and provide a rationally designed, accurate and reliable method for extracting key values ​​using energy big data, which solves the problems of low test efficiency, time-consuming and laborious

Method used

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  • Method of energy big data acquisition key value extraction
  • Method of energy big data acquisition key value extraction
  • Method of energy big data acquisition key value extraction

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Embodiment Construction

[0022] Below in conjunction with embodiment the present invention is described in further detail:

[0023] A method for extracting key values ​​by using energy big data, comprising the following steps:

[0024] Step 1. Business understanding: conduct business understanding by surveying the enterprise, determining business goals and data mining goals.

[0025] Step 2. Data understanding: Data understanding is performed through raw data collection, data description, data retrieval, and data quality inspection.

[0026] In this step, build an open and diversified data interface using various technical means such as SNMP, FILE, API, WebService, ADBC / JDBC, etc. Factor) and inspection data (overhaul time, overhaul status) are collected comprehensively. According to the characteristics of coexistence of structured and unstructured data in big data for metering energy efficiency, the project will use traditional FC SAN and parallel storage systems to efficiently manage structured an...

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Abstract

The invention relates to a method of energy big data acquisition key value extraction. The main technical is characterized of determining a business target and data mining target for business comprehension, comprehending the business, sieving high-value data, building an energy big data evaluation model, evaluating and analyzing whole energy conditions of an enterprise via the big data evaluation model, providing rational instructions and decisions and advices for overall energy planning and development of the enterprise according to an evaluation analysis result. The method is rationally designed; on one hand, great utilization value is provided to electric power enterprise profits and control level via classic data collection; on the other hand, guidance can be provided to energy enterprises energy efficiency assessment and energy ways; and enterprise overall operation level can be improved via supports of chain relative ratio and year-on-year data.

Description

technical field [0001] The invention belongs to the technical field of energy saving, in particular to a method for extracting key values ​​by using energy big data. Background technique [0002] With the rapid development of database technology and the diversification of data acquisition methods, the amount of data owned by human beings has increased sharply. Enterprises have higher requirements for real-time collection and access of massive data on the power demand side, online computing and processing, and correlation analysis and mining capabilities. . The traditional energy database system can only access and perform simple operations on the existing electricity and power factors in the database, but cannot effectively obtain the key value and decision of the enterprise's rational energy use, let alone predict its development trend. Contents of the invention [0003] The purpose of the present invention is to overcome the deficiencies of the prior art, and provide a ...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06Q50/06
CPCG06F16/2465G06F16/254G06Q50/06Y02D10/00
Inventor 张超卢欣石枫万旭东吴亮隋淑慧郭晓丹杨延春韩慎朝于波刘裕德孙学文温为民
Owner 国网天津节能服务有限公司
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