Data mining to support anaerobic WWTP monitoring
The stable and efficient operation of anaerobic wastewater treatment plants (WWTPs) is a major challenge for monitoring and control systems. Support for distributed anaerobic WWTPs through remotely monitoring their data was investigated in the TELEMAC framework. This paper describes how the accumula...
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| Veröffentlicht in: | Control engineering practice 2007-08, Vol.15 (8), p.987-999 |
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| container_title | Control engineering practice |
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| creator | Dixon, Maurice Gallop, Julian R. Lambert, Simon C. Lardon, Laurent Healy, Jerome V. Steyer, Jean-Philippe |
| description | The stable and efficient operation of anaerobic wastewater treatment plants (WWTPs) is a major challenge for monitoring and control systems. Support for distributed anaerobic WWTPs through remotely monitoring their data was investigated in the TELEMAC framework. This paper describes how the accumulating filtered sensor data was mined to contribute to the refining of expert experience for insights into digester states. Visualisation techniques were used to present cluster analyses of digester states. A procedure for determining prediction intervals is described together with its application for volatile fatty acid concentrations; this procedure enables prediction risk assessment. |
| doi_str_mv | 10.1016/j.conengprac.2006.11.010 |
| format | Article |
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Support for distributed anaerobic WWTPs through remotely monitoring their data was investigated in the TELEMAC framework. This paper describes how the accumulating filtered sensor data was mined to contribute to the refining of expert experience for insights into digester states. Visualisation techniques were used to present cluster analyses of digester states. A procedure for determining prediction intervals is described together with its application for volatile fatty acid concentrations; this procedure enables prediction risk assessment.</description><subject>Applied sciences</subject><subject>Environmental Sciences</subject><subject>Exact sciences and technology</subject><subject>Industrial metrology. Testing</subject><subject>Life Sciences</subject><subject>Mechanical engineering. Machine design</subject><subject>Pollution</subject><subject>Prediction interval</subject><subject>Reactor modelling</subject><subject>Reactor states</subject><subject>Waste treatment</subject><subject>Wastewaters</subject><subject>Water pollution</subject><subject>Water treatment and pollution</subject><issn>0967-0661</issn><issn>1873-6939</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2007</creationdate><recordtype>article</recordtype><recordid>eNqFkD1PwzAQhi0EEqXwH7IwMCTcxYntjKV8FKkSDEUdLefqFFdtHNmhEv-eVEV0ZDrp9Dzv6V7GEoQMAcX9JiPf2nbdBUNZDiAyxAwQztgIleSpqHh1zkZQCZmCEHjJrmLcwKBWFY4YPJreJDvXunad9D6JX13nQ5-Y1tjga0fJcrl4T3a-db0PA3TNLhqzjfbmd47Zx_PTYjpL528vr9PJPKVC8j5dCbBIpKQFYQsla7Qmr2VZFVRDYamoG6FyI7itSyqlajjkBolzVGS5KvmY3R1zP81Wd8HtTPjW3jg9m8z1YQe5GNIk7HFg1ZGl4GMMtvkTEPShJb3Rp5b0oSWNqIeWBvX2qHYmktk2wbTk4slXssoFyIF7OHJ2-HnvbNCRnG3Jrlyw1OuVd_8f-wEEVIFF</recordid><startdate>20070801</startdate><enddate>20070801</enddate><creator>Dixon, Maurice</creator><creator>Gallop, Julian R.</creator><creator>Lambert, Simon C.</creator><creator>Lardon, Laurent</creator><creator>Healy, Jerome V.</creator><creator>Steyer, Jean-Philippe</creator><general>Elsevier Ltd</general><general>Elsevier</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>1XC</scope><orcidid>https://orcid.org/0000-0003-0467-8081</orcidid></search><sort><creationdate>20070801</creationdate><title>Data mining to support anaerobic WWTP monitoring</title><author>Dixon, Maurice ; Gallop, Julian R. ; Lambert, Simon C. ; Lardon, Laurent ; Healy, Jerome V. ; Steyer, Jean-Philippe</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c473t-d60e1cc87e06e487b1ea2b7594cb04ec4bf682a63eb5c578f302a1c3318ce3853</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2007</creationdate><topic>Applied sciences</topic><topic>Environmental Sciences</topic><topic>Exact sciences and technology</topic><topic>Industrial metrology. 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| ispartof | Control engineering practice, 2007-08, Vol.15 (8), p.987-999 |
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| source | Access via ScienceDirect (Elsevier) |
| subjects | Applied sciences Environmental Sciences Exact sciences and technology Industrial metrology. Testing Life Sciences Mechanical engineering. Machine design Pollution Prediction interval Reactor modelling Reactor states Waste treatment Wastewaters Water pollution Water treatment and pollution |
| title | Data mining to support anaerobic WWTP monitoring |
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