A Multi-paradigm Decision Support System to improve Wastewater Treatment Plant Operation

Abstract

The paper suggests the integration of different fields in a multi-paradigm approach as the most optimal solution to guaranty the successful control of a complex environmental process such as Wastewater Treatment Plants (WWTP). This integration is able to supervise the different tasks of the system, to deal with any kind of data gathered from the process (quantitative and qualitative), and to include different kinds of knowledge: numerical, expert, experiential, and predictive. It is also detailed the behavior of the supervisory cycle of the DSS bringing face to a real case study, and how every kind of module including a mechanistic model of the process, an expert system, a case-based reasoning system, and a transition network works to reach an optimal solution.

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