DocumentCode :
3355751
Title :
A visual analysis system for sewage treatment data
Author :
Haichun Qin ; Yi Chen
Author_Institution :
Coll. of Comput. & Inf. Eng., Beijing Technol. & Bus. Univ., Beijing, China
Volume :
2
fYear :
2011
fDate :
12-14 Aug. 2011
Firstpage :
544
Lastpage :
547
Abstract :
The treatment of sewage is essential for ensuring the effluent achieving the discharge standard of water pollutants and improving the quality of water. So each year, the national and regional governments invest heavily in establishing sewage treatment factories. In order to help governors and managers analyzing investment effects and operation conditions, a Visual Analysis System for Sewage Treatment Data (VAS-STD) was presented in this paper. VAS-STD can provide the functions of classifying sewage treatment data, analyzing the investment effect and operation condition of sewage treatment plant, discovering existing problems through data mining, and finding the future direction of investment. VAS-STD is based on B/S architecture, apply Weka as its data mining tool, and apply time series diagram and Web-GIS technology to visualize the analyzing results. A data mining algorithm based on artificial neural network for sewage treatment data is also proposed. VAS-STD has been used to analysis more than 4000 sewage treatment plants data to provide important basis for decision-makers and managers.
Keywords :
Web services; data mining; effluents; environmental economics; environmental science computing; geographic information systems; industrial plants; investment; neural nets; sewage treatment; time series; water quality; VAS-STD; Web GIS technology; Weka; artificial neural network; data mining tool; effluents; government investment effects; sewage treatment data; sewage treatment factories; sewage treatment plants; time series; visual analysis system; water pollutants; water quality improvement; Data mining; Data visualization; Google; Investments; Neurons; Sewage treatment; Data Mining; Google Maps; Neural Network; Sewage Treatment; Visual Analysis; Web-GIS;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronic and Mechanical Engineering and Information Technology (EMEIT), 2011 International Conference on
Conference_Location :
Harbin, Heilongjiang, China
Print_ISBN :
978-1-61284-087-1
Type :
conf
DOI :
10.1109/EMEIT.2011.6023160
Filename :
6023160
Link To Document :
بازگشت