A knowledge-based approach to the deflocculation problem: integrating on-line, off-line, and heuristic information
A knowledge-based approach for the supervision of the deflocculation problem in activated sludge processes was considered and successfully applied to a full-scale plant. To do that, a methodology that integrates on-line, off-line and heuristic information has been proposed. This methodology consists...
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| Veröffentlicht in: | Water research (Oxford) 2003-05, Vol.37 (10), p.2377-2387 |
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| creator | Comas, J Rodrı́guez-Roda, I Sànchez-Marrè, M Cortés, U Freixó, A Arráez, J Poch, M |
| description | A knowledge-based approach for the supervision of the deflocculation problem in activated sludge processes was considered and successfully applied to a full-scale plant. To do that, a methodology that integrates on-line, off-line and heuristic information has been proposed. This methodology consists of three steps: (i) development of a decision tree (which involves knowledge acquisition and representation); (ii) implementation into a rule-based system; and (iii) validation. The set of symptoms most useful in diagnosing the deflocculation problem has been identified, the different branches to diagnose pin-point floc and dispersed growth have been built (using generic and specific knowledge), and all this knowledge has been codified into an object-oriented shell. The results obtained in the application of this knowledge-based approach to the Granollers WWTP (which treats about 130,000 inhabitants-equivalents) showed that the system was able to identify correctly the problem with reasonable accuracy. Our positive experience building this system suggests that this approach is a practical and valuable element to include in an intelligent supervisory system combining numerical and reasoning techniques. |
| doi_str_mv | 10.1016/S0043-1354(03)00018-6 |
| format | Article |
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To do that, a methodology that integrates on-line, off-line and heuristic information has been proposed. This methodology consists of three steps: (i) development of a decision tree (which involves knowledge acquisition and representation); (ii) implementation into a rule-based system; and (iii) validation. The set of symptoms most useful in diagnosing the deflocculation problem has been identified, the different branches to diagnose pin-point floc and dispersed growth have been built (using generic and specific knowledge), and all this knowledge has been codified into an object-oriented shell. The results obtained in the application of this knowledge-based approach to the Granollers WWTP (which treats about 130,000 inhabitants-equivalents) showed that the system was able to identify correctly the problem with reasonable accuracy. Our positive experience building this system suggests that this approach is a practical and valuable element to include in an intelligent supervisory system combining numerical and reasoning techniques.</description><identifier>ISSN: 0043-1354</identifier><identifier>EISSN: 1879-2448</identifier><identifier>DOI: 10.1016/S0043-1354(03)00018-6</identifier><identifier>PMID: 12727248</identifier><identifier>CODEN: WATRAG</identifier><language>eng</language><publisher>Oxford: Elsevier Ltd</publisher><subject>Activated sludge ; Applied sciences ; Artificial Intelligence ; Automation ; Biological and medical sciences ; Biological treatment of waters ; Biotechnology ; Decision Trees ; Deflocculation ; Environment and pollution ; Exact sciences and technology ; Flocculation ; Fundamental and applied biological sciences. Psychology ; General purification processes ; Industrial applications and implications. Economical aspects ; Knowledge-based systems ; Models, Theoretical ; Operational problems ; Pollution ; Sewage ; Spain, Granollers ; Waste Disposal, Fluid ; Wastewater treatment ; Wastewaters ; Water treatment and pollution</subject><ispartof>Water research (Oxford), 2003-05, Vol.37 (10), p.2377-2387</ispartof><rights>2003 Elsevier Science Ltd</rights><rights>2003 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c484t-fc20c328f998c44368d42023e7bd5e7d68496cf614d1d5fc196e2eb7f59507283</citedby><cites>FETCH-LOGICAL-c484t-fc20c328f998c44368d42023e7bd5e7d68496cf614d1d5fc196e2eb7f59507283</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0043135403000186$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=14751539$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/12727248$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Comas, J</creatorcontrib><creatorcontrib>Rodrı́guez-Roda, I</creatorcontrib><creatorcontrib>Sànchez-Marrè, M</creatorcontrib><creatorcontrib>Cortés, U</creatorcontrib><creatorcontrib>Freixó, A</creatorcontrib><creatorcontrib>Arráez, J</creatorcontrib><creatorcontrib>Poch, M</creatorcontrib><title>A knowledge-based approach to the deflocculation problem: integrating on-line, off-line, and heuristic information</title><title>Water research (Oxford)</title><addtitle>Water Res</addtitle><description>A knowledge-based approach for the supervision of the deflocculation problem in activated sludge processes was considered and successfully applied to a full-scale plant. To do that, a methodology that integrates on-line, off-line and heuristic information has been proposed. This methodology consists of three steps: (i) development of a decision tree (which involves knowledge acquisition and representation); (ii) implementation into a rule-based system; and (iii) validation. The set of symptoms most useful in diagnosing the deflocculation problem has been identified, the different branches to diagnose pin-point floc and dispersed growth have been built (using generic and specific knowledge), and all this knowledge has been codified into an object-oriented shell. The results obtained in the application of this knowledge-based approach to the Granollers WWTP (which treats about 130,000 inhabitants-equivalents) showed that the system was able to identify correctly the problem with reasonable accuracy. Our positive experience building this system suggests that this approach is a practical and valuable element to include in an intelligent supervisory system combining numerical and reasoning techniques.</description><subject>Activated sludge</subject><subject>Applied sciences</subject><subject>Artificial Intelligence</subject><subject>Automation</subject><subject>Biological and medical sciences</subject><subject>Biological treatment of waters</subject><subject>Biotechnology</subject><subject>Decision Trees</subject><subject>Deflocculation</subject><subject>Environment and pollution</subject><subject>Exact sciences and technology</subject><subject>Flocculation</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>General purification processes</subject><subject>Industrial applications and implications. Economical aspects</subject><subject>Knowledge-based systems</subject><subject>Models, Theoretical</subject><subject>Operational problems</subject><subject>Pollution</subject><subject>Sewage</subject><subject>Spain, Granollers</subject><subject>Waste Disposal, Fluid</subject><subject>Wastewater treatment</subject><subject>Wastewaters</subject><subject>Water treatment and pollution</subject><issn>0043-1354</issn><issn>1879-2448</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2003</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqN0cuOFCEUBuCK0Tjt6CNo2Gg0sZR7gRszmXhLJnGhrgkFh260Glqo0vj2Mt0VZzmGBQQ-Dif8XfeY4FcEE_n6C8ac9YQJ_hyzFxhjonp5p9sQNeiecq7udpt_5Kx7UOv3hihl-n53RujQBlebrlygHyn_nsBvoR9tBY_s4VCydTs0ZzTvAHkIU3Zumewcc0LtcJxg_wbFNMO2tM20RTn1U0zwEuUQ1pVNHu1gKbHO0TUcctkfKzzs7gU7VXi0zufdt_fvvl5-7K8-f_h0eXHVO6743AdHsWNUBa2V45xJ5TnFlMEwegGDl4pr6YIk3BMvgiNaAoVxCEILPFDFzrtnp7qt458L1NnsY3UwTTZBXqqhWmo5UPYfkHGixO2QSCIoHXCD4gRdybUWCOZQ4t6WP4Zgcx2fOcZnrrMxmJljfEa2e0_WB5ZxD_7m1ppXA09XYKuzUyg2uVhvHB8EEUw39_bkoH3wrwjFVBchOfCxgJuNz_GWVv4C5eq2sQ</recordid><startdate>20030501</startdate><enddate>20030501</enddate><creator>Comas, J</creator><creator>Rodrı́guez-Roda, I</creator><creator>Sànchez-Marrè, M</creator><creator>Cortés, U</creator><creator>Freixó, A</creator><creator>Arráez, J</creator><creator>Poch, M</creator><general>Elsevier Ltd</general><general>Elsevier Science</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QH</scope><scope>7UA</scope><scope>C1K</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>KR7</scope></search><sort><creationdate>20030501</creationdate><title>A knowledge-based approach to the deflocculation problem: integrating on-line, off-line, and heuristic information</title><author>Comas, J ; Rodrı́guez-Roda, I ; Sànchez-Marrè, M ; Cortés, U ; Freixó, A ; Arráez, J ; Poch, M</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c484t-fc20c328f998c44368d42023e7bd5e7d68496cf614d1d5fc196e2eb7f59507283</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2003</creationdate><topic>Activated sludge</topic><topic>Applied sciences</topic><topic>Artificial Intelligence</topic><topic>Automation</topic><topic>Biological and medical sciences</topic><topic>Biological treatment of waters</topic><topic>Biotechnology</topic><topic>Decision Trees</topic><topic>Deflocculation</topic><topic>Environment and pollution</topic><topic>Exact sciences and technology</topic><topic>Flocculation</topic><topic>Fundamental and applied biological sciences. 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To do that, a methodology that integrates on-line, off-line and heuristic information has been proposed. This methodology consists of three steps: (i) development of a decision tree (which involves knowledge acquisition and representation); (ii) implementation into a rule-based system; and (iii) validation. The set of symptoms most useful in diagnosing the deflocculation problem has been identified, the different branches to diagnose pin-point floc and dispersed growth have been built (using generic and specific knowledge), and all this knowledge has been codified into an object-oriented shell. The results obtained in the application of this knowledge-based approach to the Granollers WWTP (which treats about 130,000 inhabitants-equivalents) showed that the system was able to identify correctly the problem with reasonable accuracy. 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| subjects | Activated sludge Applied sciences Artificial Intelligence Automation Biological and medical sciences Biological treatment of waters Biotechnology Decision Trees Deflocculation Environment and pollution Exact sciences and technology Flocculation Fundamental and applied biological sciences. Psychology General purification processes Industrial applications and implications. Economical aspects Knowledge-based systems Models, Theoretical Operational problems Pollution Sewage Spain, Granollers Waste Disposal, Fluid Wastewater treatment Wastewaters Water treatment and pollution |
| title | A knowledge-based approach to the deflocculation problem: integrating on-line, off-line, and heuristic information |
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