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Development of a Virtual Sensor for COD Measurement in a Wastewater Treatment Plant
| dc.contributor.author | Díaz-Longueira, Antonio | |
| dc.contributor.author | Timiraos, Míriam | |
| dc.contributor.author | Michelena, Álvaro | |
| dc.contributor.author | Fontenla-Romero, Óscar | |
| dc.contributor.author | Calvo-Rolle, José Luis | |
| dc.date.accessioned | 2023-11-08T20:05:44Z | |
| dc.date.available | 2023-11-08T20:05:44Z | |
| dc.date.issued | 2023 | |
| dc.identifier.uri | http://hdl.handle.net/2183/34120 | |
| dc.description | Cursos e Congresos , C-155 | es_ES |
| dc.description.abstract | [Abstract] The objective of the work is to develop a system that allows predicting, from a global perspective, the behavior of the process in a wastewater treatment plant. To do this, the chemical oxygen demand, a variable present in water, is estimated indirectly, avoiding difficult and complex measurements. This estimation is carried out in real time through the relationship between easily measured variables. This modeling will be done through the use of machine learning techniques. Different regression techniques are applied and compared. The dataset contains variables such as pH, conductivity, suspended solids and etc. In thisway, a non-physical indirect sensor is implemented. Thresholds are established for the detection of deviations in the sensor parameters | es_ES |
| dc.description.sponsorship | Míriam Timiraos’s research was supported by the “Xunta de Galicia” (Regional Government of Galicia) through grants to industrial PhD (http://gain.xunta.gal/), under the “Doutoramento Industrial 2022” grant with reference: 04 IN606D 2022 2692965. Álvaro Michelena’s research was supported by the Spanish Ministry of Universities (https://www.universidades.gob.es/), under the “Formación de Profesorado Universitario” grant with reference: FPU21/00932. CITIC is funded by the Xunta de Galicia through the collaboration agreement between the Consellería de Cultura, Educación, Formación Profesional e Universidades and the Galician universities for the reinforcement of the research centres of the Galician University System (CIGUS) | |
| dc.language.iso | eng | es_ES |
| dc.publisher | Universidade da Coruña, Servizo de Publicacións | es_ES |
| dc.relation.uri | https://doi.org/10.17979/spudc.000024.46 | |
| dc.rights | Attribution 4.0 International (CC BY 4.0) | es_ES |
| dc.rights.uri | https://creativecommons.org/licenses/by-nc-sa/4.0/deed.es | * |
| dc.subject | Aprendizaje automático | es_ES |
| dc.subject | Conjunto de datos | es_ES |
| dc.subject | Aguas residuales | es_ES |
| dc.title | Development of a Virtual Sensor for COD Measurement in a Wastewater Treatment Plant | es_ES |
| dc.type | info:eu-repo/semantics/conferenceObject | es_ES |
| dc.rights.access | info:eu-repo/semantics/openAccess | es_ES |
| UDC.startPage | 305 | es_ES |
| UDC.endPage | 311 | es_ES |
| UDC.conferenceTitle | VI Congreso Xove TIC: impulsando el talento científico. Octubre, 2023, A Coruña | es_ES |
