SK-DSSy: How to Integrate the YouTube Platform in a Cooperative Decision Support?

In wastewater treatment plants (WWTPs) domain, the decision support tools are nowadays necessary in order to efficiently process the large databases generated with on-line sensors. In this paper a cooperative decision support system (DSS) is presented. This DSS uses a KPI-based fuzzy logic engine to analyse the plant performance and identify the operational conditions that occur in the plants. Then, it associates the detected operational conditions with YouTube pages in which videos are uploaded to provide details and propose suggestions. The YouTube platform is then used to share and validate suggestions by means of the comment functions and the ‘likes’. This approach is innovative, free of costs, and useful for plant managers that can rely on a user-friendly platform.

[1]  Miquel Sànchez-Marrè,et al.  Designing and building real environmental decision support systems , 2004, Environ. Model. Softw..

[2]  Lotfi A. Zadeh,et al.  Fuzzy Sets , 1996, Inf. Control..

[3]  Joachim Hansen,et al.  A Tool for Energy Management and Cost Assessment of Pumps in Waste Water Treatment Plants , 2017, ICDSST.

[4]  Joachim Hansen,et al.  A data-driven methodology to support pump performance analysis and energy efficiency optimization in Waste Water Treatment Plants , 2017 .

[5]  Silvia Fiore,et al.  Evaluation of the energy efficiency of a large wastewater treatment plant in Italy , 2016 .

[6]  Markus Becker,et al.  Is the energy-independency already state-of-art at NW-European wastewater treatment plants , 2013 .

[7]  Janusz T. Starczewski.  Advanced Concepts in Fuzzy Logic and Systems with Membership Uncertainty , 2013, Studies in Fuzziness and Soft Computing.

[8]  Joachim Hansen,et al.  Energy saving in wastewater treatment plants: A plant-generic cooperative decision support system , 2017 .

[9]  María Molinos-Senante,et al.  Efficiency assessment of wastewater treatment plants: A data envelopment analysis approach integrating technical, economic, and environmental issues. , 2016, Journal of environmental management.

[10]  F Hernández-Sancho,et al.  Energy saving in WWTP: Daily benchmarking under uncertainty and data availability limitations. , 2016, Environmental research.

[11]  Cao Ye Shi,et al.  Mass Flow and Energy Efficiency of Municipal Wastewater Treatment Plants , 2011 .

[12]  J Krampe,et al.  Energy benchmarking of South Australian WWTPs. , 2013, Water science and technology : a journal of the International Association on Water Pollution Research.