DocumentCode :
1795418
Title :
The data organization of building energy consumption monitoring system based on data classification and tree structure
Author :
Dongyang Wu ; Qijun Chen
Author_Institution :
Coll. of Electron. & Inf. Eng., Tongji Univ., Shanghai, China
fYear :
2014
fDate :
11-13 July 2014
Firstpage :
99
Lastpage :
102
Abstract :
The energy problem has gained great attention from the public in recent years. To construct a building energy consumption monitoring system is an effective way to find out the situation of the building energy consumption and go forward to make better decisions to solve the energy problem. Many related technologies and methods have been proposed, and this paper will focus on the data organization of the monitoring system. Firstly, a method to carry on data classification according to the features of the data is introduced, and then the tree structure is used for the data organization and data processing. The data is organized in ordinary tree structure in the database and on the webpages. While in data processing, it will be transformed to Binary tree. Meanwhile, the tree structure is also useful to solve the data security problem. After basic testing in the project of the building energy consumption monitoring system construction, this way of data organization has been shown to be effective.
Keywords :
building management systems; energy consumption; pattern classification; security of data; tree data structures; binary tree; building energy consumption monitoring system; data classification; data organization; data security problem; tree structure; Real-time systems; Testing; Data Classification; Data Organization; Energy Consumption; Tree Structure;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
System Science and Engineering (ICSSE), 2014 IEEE International Conference on
Conference_Location :
Shanghai
Type :
conf
DOI :
10.1109/ICSSE.2014.6887913
Filename :
6887913
Link To Document :
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