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Automatic batch sedimentation test based on histogram back-projection image analysis

  • MM Automation

Research output: Contribution to journal › Article › peer-review

6 Citations (Scopus)

Abstract

A new method for measurement of sludge blanket height (SBH) based on image analysis is presented. The proposed method uses a histogram back-projection algorithm to distinguish between the settling sludge and supernatant and can be used with sludge possessing different coloring characteristics both in the sludge color and the color of supernatant produced. Individual pixels in the acquired image are compared with a histogram of a representative sludge region. Therefore, the proposed method relies neither on the assumed shape of light intensity profile nor on the dominant sludge or supernatant color. Batch sedimentation tests are presented for different initial sludge concentrations and different background colors to simulate different sludge characteristics. Parameters of a settling velocity function are estimated based on the obtained results. Additionally, an algorithm is proposed that enables the zone settling velocity (ZSV) to be estimated before the batch sedimentation test is completed.

Original languageEnglish
Article numbere136187
JournalBulletin of the Polish Academy of Sciences: Technical Sciences
Volume69
Issue number1
DOIs
Publication statusPublished - Feb 2021

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 6 - Clean Water and Sanitation
    SDG 6 Clean Water and Sanitation

Keywords

  • Activated sludge
  • Batch sedumentation test
  • Control of recycle in WWTPs
  • Image analysis

ASJC Scopus subject areas

  • Information Systems
  • Atomic and Molecular Physics, and Optics
  • General Engineering
  • Computer Networks and Communications
  • Artificial Intelligence

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