Introduction into MMK Blast Furnaces of an Automated System for Smelting Control, Optimization, and Prediction

Parshakov, V. M.; Полинов, А. А.; Павлов, А. В.; Tretyak, A. A.; Prokhorov, I. E.; Колосов, А. В.; Dovzhenko, P. Yu.

doi:10.1007/s11015-017-0546-1

Cited by 4 publications

(5 citation statements)

References 2 publications

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“…Then, the inventory is optimized according to the optimized demand, so as to find the optimal cost. During this period, the price discount strategy when purchasing materials is also added, and the finally found optimal cost is also more practical for the actual engineering situation [39][40][41]. The previous methodologies' supply chain functions were demonstrated to commonly suffer from insufficient communication, which have a detrimental influence on data analysis and cooperation.…”

Section: Solution Analysismentioning

confidence: 99%

Optimal design of supply chain inventory information forecasting and control system in cloud environment for biomedical instruments

Tie

Zhao

Sayyad³

et al. 2022

The Journal of Engineering

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With the rapid development of Internet technology, the network information data is exploding, and society has entered the era of cloud data. Cloud data provides a lot of data support for people's life and work, but because of its large number, multifarious types and huge value, there are some problems such as private data leakage and abuse of sensitive information. Stocking of biomedical material at one place only, can cause delay in sending important lifesaving material to needy patients. On the one hand, it is an important content of engineering scheduling theory and method; On the other hand, in medical field, a lot of materials are usually consumed to protect the life of patients. Biomedical informatics and computer vision techniques have been combined in a variety of inter-multidisciplinary disciplines during the past few decades. We are all aware that inadequate or insufficient cloud access management and controls can expose a corporation to a range of issues. The work that follows offers intelligent supply chain, an upgraded service management control telephone network architecture. If we can acquire according to the patient demands and retain the ideal inventory such that the patient requirement and interest can be safe, the overall cost will be lowered greatly. The experimental results show that R1 orders 31 times, and the total cost is 1,259,520 CNY. R2 ordered 24 times, with a total cost of 982,034 CNY; R3 orders 22 times, and the total cost is 990,146 CNY. Finally, the optimal solution of the total cost after schedule optimization is 3,231,700 CNY. It is proved that the optimal cost finally obtained by forecasting supply chain inventory information based on cloud data environment is also more practical for engineering practice.

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Section: Solution Analysismentioning

confidence: 99%

Optimal design of supply chain inventory information forecasting and control system in cloud environment for biomedical instruments

Tie

Zhao

Sayyad³

et al. 2022

The Journal of Engineering

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“…-implementation of the recommendations on improvement of blast-furnace smelting control in the CIS countries [8];…”

Section: Problem Statementmentioning

confidence: 99%

“…The practical measures confirmed the adequacy of the MMs of the processes in the BF and the possibility of using them for control, optimization, and prediction of blast-furnace smelting to create conditions increasing the performance of the furnace and the service life of its refractory masonry. This made it possible to start in 2006 the stagewise implementation of the automatic control, optimization, and prediction system (ACOPS) for all MMK blast furnaces [8]. This system (Table 1) has resulted from the long-term analytic and experimental studies carried out in 1959 to 1986 at the Scientific-Research Institute of Metallurgical Heat Engineering (VNIIMT, Sverdlovsk) to resolve the issues of control, optimization, and prediction for blast furnaces and the studies carried out since 1986 at the All-Union Research and Design Institute of Automation and Control Systems (ARDI ACS, Moscow), the Siemens company (Germany), and AKOMM company (established in 1992 in Moscow) to develop a process control system for blast furnaces and their high (second) level.…”

Section: Problem Statementmentioning

confidence: 99%

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Improving the Efficiency of a Blast Furnace and Increasing its Campaign with Mathematical Models Run in Real Time as Part of the Automatic Process Control System

et al. 2021

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Improving the durability of the masonry of a blast-furnace, along with increase in its output and reduction in coke consumption, is an important task of blast-furnace control. The most important factor of accomplishing these tasks is control of the temperature of the materials at the upper boundary of the tuyere zone and the belly and bosh adjacent to the furnace masonry at the bottom of the stack. A one-dimensional mathematical model run in real time as part of the automated process control system of the MMK BFs is used to solve the problems of gas dynamic and heat-and mass transfer processes between the stockline and the iron taphole (Domna model), and a two-dimensional mathematical model is used to additionally describe all the processes, including melting, in the vertical section of the furnace (Kogeziya model).

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“…As a rule, mathematical models of the blast furnace process are used. In particular, [9][10][11] present the results of studies of the melting zone (cohesion) in the blast furnaces of Magnitogorsk Iron & Steel Works using a two-dimensional mathematical model of the blast furnace. But the authors typically refer to works published in the 1980s in collections of articles [12].…”

Section: Introductionmentioning

confidence: 99%

Analysis of the Influence of the Degree of Reduction of Iron Ore Materials on the Shape and Location of the Cohesion Zone in a Blast Furnace

Dmitriev

Vitkina

Alektorov

2021

DDF

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The paper considers the theoretical foundations of softening of iron ore materials in a blast furnace (the so-called ‘cohesion zone’). The dependences of the temperature range of softening of iron ore materials (the temperatures of the beginning and ending of softening) on the degree of reduction are calculated and experimentally obtained. Physical modelling of the softening process of reduced iron ore materials was carried out using the Russian State Standard No 26517-85. The results of calculations of the location and shape of the cohesion zone in the blast furnace for iron ore materials with different metallurgical characteristics are presented.

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Introduction into MMK Blast Furnaces of an Automated System for Smelting Control, Optimization, and Prediction

Cited by 4 publications

References 2 publications

Optimal design of supply chain inventory information forecasting and control system in cloud environment for biomedical instruments

Optimal design of supply chain inventory information forecasting and control system in cloud environment for biomedical instruments

Improving the Efficiency of a Blast Furnace and Increasing its Campaign with Mathematical Models Run in Real Time as Part of the Automatic Process Control System

Analysis of the Influence of the Degree of Reduction of Iron Ore Materials on the Shape and Location of the Cohesion Zone in a Blast Furnace

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