Switching and optimizing control for coal flotation process based on a hybrid model

Zhang, Dong; Ran-feng, Wang; Fan, Minguang; Fu, Xiang

doi:10.1371/journal.pone.0186553

Cited by 14 publications

(7 citation statements)

References 30 publications

(25 reference statements)

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“…Dong et al. used a hybrid model with PCA and SVM for the switching and control of an industrial coal flotation process achieving an increase in the clean coal recovery compared to other control strategies. An extensive review on the use of hybrid models and data‐driven surrogates in flotation processes can be found in .…”

Section: Overview Of the Use Of Hybrid Models In Separation Processesmentioning

confidence: 99%

Hybrid Semi‐parametric Modeling in Separation Processes: A Review

McBride

Medina

Sundmacher

2020

Chemie Ingenieur Technik

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This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. Separations of mixtures play a critical role in chemical industries. Over the last century, the knowledge in the area of chemical thermodynamics and modeling of separation processes has been substantially expanded. Since the models are still not completely accurate, hybrid models can be used as an alternative that allows to retain existing knowledge and augment it using data. This paper explores some of the weaknesses in the current knowledge in separations design, simulation, optimization, and operation, and presents many examples where data-driven and hybrid models have been used to facilitate these tasks.

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Section: Overview Of the Use Of Hybrid Models In Separation Processesmentioning

confidence: 99%

Hybrid Semi‐parametric Modeling in Separation Processes: A Review

McBride

Medina

Sundmacher

2020

Chemie Ingenieur Technik

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“…The problem of low-quality coal has been addressed in various ways. For instance, coal quality is controlled using various techniques such as floatation [5,6], [7,8] and fuel rearrangement control considering burnup [9,10]. It is imperative to continuously monitor the quality of the coal supplied to thermal power plants as the quality of coal significantly impacts the efficiency of power plants [11].…”

Section: Literature Reviewmentioning

confidence: 99%

Simulation modelling of sampling and replacement of coal suppliers for thermal power plants

Grishyn,

Tarakhtij

2023

AAIT

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This paper embarks to the persistent suboptimal coal quality issues experienced in thermal power plants that hinder operational efficiency and sustainability. The research is divided into three main segments: formulation of a transport problem, creationof a coal supplier selection model, and construction of a MATLAB Simulink® simulation for detecting and refusing low-grade coal. The proposed supplier selection model, important for thermal power plants, considers factors such as potential transport delays and the necessity of reserve refueling to prevent fuel shortages. This model is expected to decrease fuel shortages and enhance the reliability and efficiency of thermal power plants. Additionally, a coal quality detection model has been developed using a sampling approach based on the Cochran formula, aiming to increase defect detection accuracy, thus reducing the likelihood of utilizing poor-quality coal. The model's unique feature is its dynamic adjustment of coal sample selection based on combustion results, enabling real-time response to coal quality inconsistencies. Upon detecting poor-qualitycoal, the power plants promptly switch to an alternate supplier, minimizing operational disruptions. The validity of the models was confirmed via simulation on various examples

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“…In the monitoring and control of froth flotation, a key step is to analyze froth images. The size and distribution of froth are important parameters for describing flotation conditions [1,2]. Image segmentation is one of the most effective techniques for extracting those features of froth images.…”

Section: Introductionmentioning

confidence: 99%

A fast threshold segmentation method for froth image base on the pixel distribution characteristic

Xie

et al. 2019

PLoS ONE

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With the increase of the camera resolution, the number of pixels contained in froth image is increased, which brings many challenges to image segmentation. Froth size and distribution are the important index in froth flotation. The segmentation of froth images is always a problem in building flotation model. In segmenting froth images, Otsu method is usually used to get a binary image for classification of froth images, this method can get a satisfactory segmentation result. However, each gray level is required to calculate each of the between-class variance, it takes a longer time in froth images with a large number of pixels. To solve this problem, an improved method is proposed in this paper. Most froth images have the pixel distribution characteristic that the gray histogram curve is a sawtooth shape. The proposed method uses polynomial to fit the curve of gray histogram and takes the characteristic of gray histogram's valley into consideration in Otsu method. Two performance comparison methods are introduced and used. Experimental comparison between Otsu method and the proposed method shows that the proposed method has a satisfactory image segmentation with a low computing time.

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Switching and optimizing control for coal flotation process based on a hybrid model

Cited by 14 publications

References 30 publications

Hybrid Semi‐parametric Modeling in Separation Processes: A Review

Hybrid Semi‐parametric Modeling in Separation Processes: A Review

Simulation modelling of sampling and replacement of coal suppliers for thermal power plants

A fast threshold segmentation method for froth image base on the pixel distribution characteristic

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