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Full Record Details
Persistent URL
http://purl.org/net/epubs/work/30125
Record Status
Checked
Record Id
30125
Title
Experience with data mining for the anaerobic wastewater treatment process
Contributors
M Dixon (London Metropolitan U.)
,
JR Gallop (CCLRC Rutherford Appleton Lab.)
,
SC Lambert (CCLRC Rutherford Appleton Lab.)
,
JV Healy (London Metropolitan U.)
Abstract
Anaerobic digestion provides an effective way of disposing of organic material in wastewater. The EU-funded TELEMAC project aims at improving the reliability and efficiency of monitoring and control of this type of wastewater treatment plant. One of its special features is the idea of a telecontrol centre which monitors multiple, geographically distributed plants remotely, acts as a centre of expertise, and brings together the expertise of a network of remote experts. Data mining has been identified as a potentially useful contributing technology. Sensor data is now becoming available for some pilot, laboratory scale, and industrial sized digesters. This paper presents the directions of work and emerging results of data mining. Particular themes considered here include: experience gained in the data mining exercise; the use of confidence and prediction intervals; prospects for generalisation over different sizes and types of anaerobic digester; relationship to the overall supervision system developed in the project.
Organisation
CCLRC
,
BITD
Keywords
Engineering
,
Wastewater treatment
,
Anaerobic digestion
,
Process control
,
Data mining
Funding Information
Related Research Object(s):
Licence Information:
Language
English (EN)
Type
Details
URI(s)
Local file(s)
Year
Journal Article
Environmental Modelling and Software 22, no. 3 (2006): 315-322.
10.1016/j.envsoft.2005.07.031
EMS_2007p315-322asPreprint.pdf
2006
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