Proceedings of the 2017 Global Conference on Mechanics and Civil Engineering (GCMCE 2017)

Research on Energy Management System Integration and Energy Saving Optimization

Authors
Qiang Zhao, Chenxiao Zhi
Corresponding Author
Qiang Zhao
Available Online June 2017.
DOI
https://doi.org/10.2991/gcmce-17.2017.22How to use a DOI?
Keywords
Energy management, Wireless sensor networ, Zigbee, Flume, Kafka, Storm, Redis, SVM, Spark.
Abstract
With the rapid development of modern society, an increasing number of people start to realize the importance of the electric power consumption of buildings. Based on this, the article explore the effective management method of energy consumption of buildings: First of all, through the DHT11(temperature and humidity sensors), on-site temperature and humidity data, together with the energy consumption data are collected and sent back to the linux file through the zigbee technology. The real-time data is saved to a linux file through executing Python program. Then applying the Flume+Kafka+Storm+Redis real-time analysis structure: As the producer of Kafka, Flume monitors whether the file has generated new data. As the consumer of Kafka, Storm cleans and organizes the data, monitors and predicts the energy consumption of the buildings. The data is analyzed periodically by using the Support Vector Machine (SVM) algorithm in spark MLlib and establish the forecasting model. At least, the data is stored in Redis and offline analysis is conducted periodically.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2017 Global Conference on Mechanics and Civil Engineering (GCMCE 2017)
Part of series
Advances in Engineering Research
Publication Date
June 2017
ISBN
978-94-6252-383-8
ISSN
2352-5401
DOI
https://doi.org/10.2991/gcmce-17.2017.22How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Qiang Zhao
AU  - Chenxiao Zhi
PY  - 2017/06
DA  - 2017/06
TI  - Research on Energy Management System Integration and Energy Saving Optimization
BT  - 2017 Global Conference on Mechanics and Civil Engineering (GCMCE 2017)
PB  - Atlantis Press
SP  - 111
EP  - 114
SN  - 2352-5401
UR  - https://doi.org/10.2991/gcmce-17.2017.22
DO  - https://doi.org/10.2991/gcmce-17.2017.22
ID  - Zhao2017/06
ER  -