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Erschienen in:
2019 | OriginalPaper | Buchkapitel
Soft Sensor for TSS in Effluent of Primary Clarifier of Industrial Effluent Treatment Plant
verfasst von : Nital Patel, Jayesh Ruparelia, Jayesh Barve
Erschienen in: Smart Technologies for Energy, Environment and Sustainable Development
Verlag: Springer Singapore
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Abstract
Measurement of TSS is of interest and important to accomplish good quality control in wastewater treatment plants. This paper covers work towards the development of a soft sensor to estimate total suspended solids (TSS) in the effluent of a primary clarifier subsystem in a typical industrial effluent treatment plant (IETP). The data pre-processing has been done using 3σ edit rule, and statistical technique has been applied for the development of soft sensor to predict the clarifier effluent TSS as a function of clarifier influent flow rate and influent TSS. The data set has been collected from real-life plant located at Ahmedabad. A set of data is used for the soft sensor development, and other set of data has been used for model validation. The performance analysis has been evaluated based on the absolute percentage error, and it is observed that the absolute percentage error is less than 20%.