Automatic monitoring and quantitative characterization of sedimentation dynamics for non-homogenous systems based on image profile analysis

Lu, Xiaolong; Liao, Zuhua; Li, Xue; Wang, Manli; Wu, Li; Li, Haiyan; York, Peter; Xu, Xu; Yin, Xianzhen; Zhang, Jiwen

doi:10.1016/j.powtec.2015.04.080

Cited by 12 publications

(4 citation statements)

References 47 publications

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“…Besides the video analysis, ,, there are a number of alternative techniques of tracking settling processes, such as turbidity meters, , near-infrared (NIR) spectroscopy, electrical capacitance or conductance, − electrical impedance tomography (EIT), γ-ray, , X-ray, , and nuclear magnetic resonance (NMR) . However, most of these techniques are not suitable for froth treatment processes as a result of limitations of working with specific particle concentrations, complex and expensive setups, or even time-consuming signal analysis …”

Section: Introductionmentioning

confidence: 99%

Determination of the Settling Rate of Aggregates Using the Ultrasound Method during Paraffinic Froth Treatment

2016

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This paper presents results of a study on the settling rate of aggregates formed during paraffinic treatment of bitumen froth. Experiments were performed at temperatures ranging from 30 to 90 °C and various solvent/bitumen ratios, using n-pentane, isopentane, and n-hexane as paraffinic solvents. Characteristic settling curves of diluted bitumen froth were obtained by two independent methods: visual observation and an ultrasound technique. The ultrasound study showed that the hindered settling zone interface can be accurately tracked in place using an ultrasound velocity profiler. Problems associated with determining the settling rate by fitting a linear function to the initial part of the settling curve of the upper interface at higher temperatures were avoided by applying the so-called lower interface method. Settling rates determined using the upper and lower interface methods showed good agreement, confirming interchangeability of the methods.

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Section: Introductionmentioning

confidence: 99%

Determination of the Settling Rate of Aggregates Using the Ultrasound Method during Paraffinic Froth Treatment

2016

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“…For decades, researchers have proposed many methods to control sludge cycling, most of which are based on an understanding of the settling characteristics of activated sludge [7][8] . Settling of activated sludge can occur in various states.…”

Section: Introductionmentioning

confidence: 99%

Prediction of settlement velocity of sludge area based on image analysis

Guo

CHAI

TANG

et al. 2023

Preprint

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The sedimentation performance of sludge affects the operation of the entire treatment process. It is important to measure the zone settling velocity accuracy and high efficiency which can reflect the sedimentation performance of sludge. Traditional methods often rely entirely on manual implementation. Long hours of manual measurement work brings physical strain to the operator, low efficiency of the entire measurement work and a large error in the measurement results. Therefore, the method combining image processing and neural network to realize automatic recognition of the scale value of sludge water interface in sludge sedimentation video is proposed. Based on the recognized scale value, overall sedimentation change curve is drew, and the sludge sedimentation rate is calculated. Then, the activated sludge was examined by phase contrast microscope to obtain sludge image. The flocs, filamentous bacteria and other targets in the image are segmented with Labelme, the characteristics of flocs and sedimentation rate of the previous day are taken as input of deep stochastic configuration network, and the calculated sludge sedimentation rate is output for predicting layered sedimentation rate. Through experimental analysis, the prediction error is within a reasonable range. The intelligent prediction of sludge regional sedimentation velocity is realized.

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“…Nowadays, methods based on image analysis are gaining popularity due to the abundance of computational power and low-cost cameras. Image analysis methods applied to registration of batch settling curves for both synthetic sludge [16,17] and activated sludge [18,19] have been presented.…”

Section: Introductionmentioning

confidence: 99%

Bulletin of the Polish Academy of Sciences: Technical Sciences

Nocoń,

Pośpiech,

Kopciński

2021

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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.

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Automatic monitoring and quantitative characterization of sedimentation dynamics for non-homogenous systems based on image profile analysis

Cited by 12 publications

References 47 publications

Determination of the Settling Rate of Aggregates Using the Ultrasound Method during Paraffinic Froth Treatment

Determination of the Settling Rate of Aggregates Using the Ultrasound Method during Paraffinic Froth Treatment

Prediction of settlement velocity of sludge area based on image analysis

Bulletin of the Polish Academy of Sciences: Technical Sciences

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