Hadoop-based electricity consumption feedback implementation method

An implementation method and electrical feedback technology, applied in the field of big data processing, can solve problems such as low efficiency and poor performance, and achieve the effect of improving electricity consumption behavior

Inactive Publication Date: 2016-03-23
NANJING UNIV OF INFORMATION SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a Hadoop-based electricity feedback implementation method, which solves the shortcomings of low efficiency and poor performance in the traditional data processing process

Method used

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Embodiment Construction

[0025] The present invention will be described in detail below with reference to the accompanying drawings and in combination with embodiments. The present invention will be described below by taking the actual deployment situation of a certain laboratory as an example.

[0026] Experimental environment: such as figure 1 As shown in , it includes multiple collection nodes, an intelligent gateway, a web server, a cloud platform, and a MySql database.

[0027] Further, the cloud platform is composed of 1 master node and 8 slave nodes, and the 8 slave nodes are actually 8 virtual machines established by OracleVMVirtualBox software of Oracle Company.

[0028] The specific steps are figure 2 The 7 steps described in:

[0029] (1) Collection of power data

[0030] Multiple collection nodes are automatically connected to the intelligent gateway. The IP address of the gateway is 192.168.10.1, and the address of the collection node is 192.168.10.X; specifically, such as: 192.168....

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Abstract

The invention provides a Hadoop-based electricity consumption feedback implementation method. The method is implemented mainly through seven steps such as electricity data acquisition, data aggregation, data forwarding, data storage, data processing, data display and feedback and electricity consumption prediction based on a cloud platform-combined big data analysis. Through the method, data can be processed effectively, stable data transmission is realized, data feedback can be timely and use-friendly, and data predication can be high in accuracy, so that enterprise users or individuals can clearly know own electricity consumption conditions, and improve own electricity consumption behaviors, benefits are brought to the enterprise users or individuals while electricity is aved, and meanwhile, the enterprise users or individuals actively make some contribution to energy saving and pollution reduction.

Description

technical field [0001] The invention relates to cloud computing technology and wireless sensor network technology, and belongs to the field of big data processing, more specifically, it is a Hadoop-based electricity feedback implementation method. Background technique [0002] At present, the country has revised the "Energy Conservation Law of the People's Republic of China", and proposed energy conservation and emission reduction plans in the "Eleventh Five-Year Plan" and "Twelfth Five-Year Plan" consecutively, requiring that "by the end of 2015, the unit of industrial added value can Consumption is about 21% lower than in 2010." According to statistics released by the National Energy Administration in January 2014, in 2013 my country's total electricity consumption reached 5,322.3 billion kwh, a year-on-year increase of 7.5%, and industrial electricity consumption was 3,914.3 billion kwh, a year-on-year increase of 7.0%. However, our country still encounters many problems...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q50/06
CPCY02P80/10G06Q50/06
Inventor 刘琦蔡卫东肖博沈剑付章杰
Owner NANJING UNIV OF INFORMATION SCI & TECH
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