Soft sensing of the burning through point in iron-making process

Shi, Jingliang; Wu, Ying; Lu, Lidan; Yan, Xinping; Zeng, Jing; Yang, Rusen

doi:10.1109/icci-cc.2016.7862070

Cited by 2 publications

(6 citation statements)

References 2 publications

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“…In the second part, based on the transfer function obtained from the identification model, the sintering point is predicted to control the sintering belt speed. In [35], the degree of influence of 4 parameters on the sintering point -pressure in vacuum chambers, air volume, sintering belt speed and ignition temperature -is determined using the optimization algorithm of a swarm of particles.…”

Section: The Current State Of Synthesis Methods Of Control Systems Of the Sintering Point During Sinter Roasting 31 Predictive Models Of mentioning

confidence: 99%

“…The output of the controller is the speed of the sintering belt to maintain the sintering point in the required position. The position of the sintering point was also predicted using the "particle swarm" optimization algorithm [37], where the value of 4 influencing parameters: vacuum, incoming air flow, sinter machine speed and ignition temperature were determined using the algorithm.…”

Section: The Current State Of Synthesis Methods Of Control Systems Of the Sintering Point During Sinter Roasting 31 Predictive Models Of mentioning

confidence: 99%

“…The speed of initiation and propagation of cracks is determined by the features of the structure, structural parameters, loads nature, aggressiveness and temperature of the operating environment. Elements of systems in the supercritical area of operation consistently fail, redistributing the load to other elements, and thus generate negative influences internal to the system itself [35]. External and internal influences lead to further failure of the elements, and the system goes into an emergency state.…”

Section: Reasons For the Operational Operation Capacity Lossmentioning

confidence: 99%

“…Moreover, the degree of their change is not the same for different points of the structure. Thus, an aggressive environment impact leads to the appearance of an induced (time-varying) inhomogeneity of geometric and, in some cases, structure mechanical [36,37].…”

Section: Reasons For the Operational Operation Capacity Lossmentioning

confidence: 99%

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Energy- And Resource-Saving Technologies of Developing the Raw-Material Base of Mining Regions

2021

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We are glad to present the multi-authored monograph “Energy- and resource-saving technologies of developing the raw-material base of mining regions” Present-day conditions require creating a scientific and methodological base for sustainable use of natural resources. The given monograph is aimed at dealing with these problems. There are presented results of researches into various aspects of developing the mineral material complex. The complete cycle of operations aimed at introducing energy- and resource-saving technologies from geological analysis of mineral resources to their processing and metal-roll production is under consideration. Much attention is paid to implementation of technologies followed up by reclamation of disturbed lands and water balance in mining regions. The multi-authored monograph is of great interest to mining scholars and young people mastering mining specialities at university. The monograph editors appreciate the authors’ contribution to the given edition.

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Section: The Current State Of Synthesis Methods Of Control Systems Of the Sintering Point During Sinter Roasting 31 Predictive Models Of mentioning

confidence: 99%

Section: The Current State Of Synthesis Methods Of Control Systems Of the Sintering Point During Sinter Roasting 31 Predictive Models Of mentioning

confidence: 99%

Section: Reasons For the Operational Operation Capacity Lossmentioning

confidence: 99%

Section: Reasons For the Operational Operation Capacity Lossmentioning

confidence: 99%

See 2 more Smart Citations

Energy- And Resource-Saving Technologies of Developing the Raw-Material Base of Mining Regions

2021

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“…The closed-system identification method is used to dynamically determine the model parameters. The state of BTP also is predicted using a particle swarm optimization algorithm (PSO) [17], which include 4 influence parameters: suction pressure, air input, velocity of sintering machine, and ignition temperature. Obviously, the current BTP is also affected by its previous stage and [18] carried out time series trend analysis for the BTP, which gives the opportunity to determine global and local trend feature variables.…”

Section: Introductionmentioning

confidence: 99%

Application of grey system theory to phosphorite sinter process: From modeling to control

Toktassynova

Fourati

Suleimenov

2020

Asian Journal of Control

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The sintering process of phosphorite ore occurs with a large amount of return caused by untimely process control. The control task of phosphorite ore sintering is to regulate the parameters of the process to obtain a high quality sinter. The parameter clearly responsible for sinter quality is the temperature in the wind box. Therefore, in order to solve the control task, it is necessary to predict the highest temperature of the charge (also known as the burn through point (BTP)). In this paper, the theory of grey systems is used as a predictive model, which makes it possible to obtain an adequate model that uses a small number of initial samples of real temperature data. Based on the grey model GMC(1,n) a new optimal model is presented, which is constructed by using optimization algorithm. Optimal model predicts the BTP, and to establish an optimal regulation, a control synthesis is carried out through an optimization of the prediction according to the “particle swarm” algorithm.

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Soft sensing of the burning through point in iron-making process

Cited by 2 publications

References 2 publications

Energy- And Resource-Saving Technologies of Developing the Raw-Material Base of Mining Regions

Energy- And Resource-Saving Technologies of Developing the Raw-Material Base of Mining Regions

Application of grey system theory to phosphorite sinter process: From modeling to control

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