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Research Article

Floc sensor prototype tested in the municipal wastewater treatment plant

ORCID Icon, ORCID Icon & ORCID Icon | (Reviewing Editor)
Article: 1436929 | Received 12 Oct 2017, Accepted 01 Feb 2018, Published online: 16 Feb 2018

Figures & data

Table 1. Inlet and outlet wastewater quality parameters of Skiphelle WWTP during the experiments period

Figure 1. (a) Schematic representation of the installation; (b) a photograph of a part of the installation – Raspberry Pi camera and imaging cell with flocs.

Figure 1. (a) Schematic representation of the installation; (b) a photograph of a part of the installation – Raspberry Pi camera and imaging cell with flocs.

Figure 2. Print screens of the developed program for the Raspberry Pi camera control: (a) main page with the menu; (b) camera parameters settings; (c) time laps settings.

Figure 2. Print screens of the developed program for the Raspberry Pi camera control: (a) main page with the menu; (b) camera parameters settings; (c) time laps settings.

Figure 3. Scores plot of PCA, PC1 vs. PC2 for: (a) data with 4 GLCM textural features of the images of flocs; (b) data containing wastewater quality parameters, GLCM textural features and the coagulant dosage.

Figure 3. Scores plot of PCA, PC1 vs. PC2 for: (a) data with 4 GLCM textural features of the images of flocs; (b) data containing wastewater quality parameters, GLCM textural features and the coagulant dosage.

Figure 4. Comparison of the predicted coagulant dosages by PLSR and reference dosages with corresponding them effluent turbidity measurements.

Figure 4. Comparison of the predicted coagulant dosages by PLSR and reference dosages with corresponding them effluent turbidity measurements.

Figure 5. Comparison of the sample images corresponding to different outlet turbidity measurements and the ranges of their GLCM textural features.

Figure 5. Comparison of the sample images corresponding to different outlet turbidity measurements and the ranges of their GLCM textural features.