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The CDC is the premier conference dedicated to the advancement of the theory and practice of systems and control. The CDC annually brings together an international community of researchers and practitioners in the field of automatic control to discuss new research results, perspectives on future developments, and innovative applications relevant to decision making, automatic control, and related areas.
The ACC is the annual conference of the American Automatic Control Council (AACC, the U.S. national member organization of the International Federation for Automatic Control (IFAC)). The ACC is internationally recognized as a premier scientific and engineering conference dedicated to the advancement of control theory and practice. The ACC brings together an international community of researchers and practitioners to discuss the latest findings in automatic control. The 2020 ACC technical program will
IEEE International Conference on Plasma Science (ICOPS) is an annual conference coordinated by the Plasma Science and Application Committee (PSAC) of the IEEE Nuclear & Plasma Sciences Society.
Artificial Intelligence, Control and Systems, Cyber-physical Systems, Energy and Environment, Industrial Informatics and Computational Intelligence, Robotics, Network and Communication Technologies, Power Electronics, Signal and Information Processing
Chinese Control and Decision Conference is an annual international conference to create a forum for scientists, engineers and practitioners throughout the world to present the latest advancement in Control, Decision, Automation, Robotics and Emerging Technologies.
The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...
The IEEE Transactions on Automation Sciences and Engineering (T-ASE) publishes fundamental papers on Automation, emphasizing scientific results that advance efficiency, quality, productivity, and reliability. T-ASE encourages interdisciplinary approaches from computer science, control systems, electrical engineering, mathematics, mechanical engineering, operations research, and other fields. We welcome results relevant to industries such as agriculture, biotechnology, healthcare, home automation, maintenance, manufacturing, pharmaceuticals, retail, ...
Serves as a compendium for papers on the technological advances in control engineering and as an archival publication which will bridge the gap between theory and practice. Papers will highlight the latest knowledge, exploratory developments, and practical applications in all aspects of the technology needed to implement control systems from analysis and design through simulation and hardware.
Theory and application of fuzzy systems with emphasis on engineering systems and scientific applications. (6) (IEEE Guide for Authors) Representative applications areas include:fuzzy estimation, prediction and control; approximate reasoning; intelligent systems design; machine learning; image processing and machine vision;pattern recognition, fuzzy neurocomputing; electronic and photonic implementation; medical computing applications; robotics and motion control; constraint propagation and optimization; civil, chemical and ...
Theory and applications of industrial electronics and control instrumentation science and engineering, including microprocessor control systems, high-power controls, process control, programmable controllers, numerical and program control systems, flow meters, and identification systems.
Proceedings of the 32nd Chinese Control Conference, 2013
During the blast furnace process, carbon plays a very important role, not only participate in iron reduction reaction, but also provide large amount of energy. For the calculation of carbon efficiency in blast furnace iron making process, this paper proposed a calculation modeling method to describe the carbon consumption and energy utilization of blast furnace based on the analysis of ...
The 27th Chinese Control and Decision Conference (2015 CCDC), 2015
Noise variance is an important variable for data filtering. In order to estimate the noise variance of hot iron temperature in process of blast furnace (BF) ironmaking, this work will study parameter estimate of AutoRegressive (AR) process in presence of noise based on BF observed data. Furthermore, a given instrumental variable choosing method and recursive least squares algorithm will be ...
2017 IEEE International Ultrasonics Symposium (IUS), 2017
A blast furnace surrounded by steel plates from its outer side and by a refractory lining from its inner side is used to acquire pig iron from iron ores. The refractory lining is a wall of refractory bricks which can withstand elevated temperature as high as 1600 degrees. Although the refractory lining has high thermal resistance, it is inevitable for ...
2017 2nd International Conference Sustainable and Renewable Energy Engineering (ICSREE), 2017
As the influence of nitrogen content in fuel gas is not considered in the conventional calculation method (1) of the excess air ratio in the flue gas, the calculation method is not appropriate in the calculation of thermal efficiency for the blast furnace gas fired boiler. In this paper, the calculation formula (18) of the excess air ratio in the ...
1995 IEEE International Conference on Systems, Man and Cybernetics. Intelligent Systems for the 21st Century, 1995
Presents a system that allows experienced users to describe their knowledge so as to use a task bank to solve complex problems. Initially, this system has been developed to guide designers facing problems in a complex CAD environment. In this paper we will show how the different concepts we have introduced can be applied to process control systems. Therefore, we ...
During the blast furnace process, carbon plays a very important role, not only participate in iron reduction reaction, but also provide large amount of energy. For the calculation of carbon efficiency in blast furnace iron making process, this paper proposed a calculation modeling method to describe the carbon consumption and energy utilization of blast furnace based on the analysis of the carbon flow transformation analysis. First step of the method is calculating direct reduction degree of the blast furnace process by the actual production data; Secondly, based on the reduction reaction material consumption and energy conversion, complete the calculation of the direct and indirect reduction carbon consumption and heat balance of reduction process in the blast furnace, establish carbon efficiency model with core of carbon reduction utilization and heating efficiency of reduction process. This method is verified by the calculation example, reveals the essence of carbon consumption. The model can be used in the analysis of coke consumption and the economic operation of a blast furnace, improve the efficiency of carbon in the blast furnace.
Noise variance is an important variable for data filtering. In order to estimate the noise variance of hot iron temperature in process of blast furnace (BF) ironmaking, this work will study parameter estimate of AutoRegressive (AR) process in presence of noise based on BF observed data. Furthermore, a given instrumental variable choosing method and recursive least squares algorithm will be delivered in this paper. The proposed method requires loose assumptions, which are more close to the data fact in blast furnace ironmaking process. Finally, noise variance estimate results are shown by simulation tests.
A blast furnace surrounded by steel plates from its outer side and by a refractory lining from its inner side is used to acquire pig iron from iron ores. The refractory lining is a wall of refractory bricks which can withstand elevated temperature as high as 1600 degrees. Although the refractory lining has high thermal resistance, it is inevitable for the lining to suffer from degradation of its thickness and properties when the furnace is operated over a long period of time. Therefore, researches using non-destructive testing technique have been carried out to do accurate measurement of the remaining thickness of the refractory lining in a blast furnace. In this work, the state of the refractory ceramics was characterized by the impact-echo technique. To measure the thickness of a refractory lining by the impact-echo technique, the vibration characteristics of the refractory ceramic should be identified first. The vibration characteristic of refractory ceramics has been identified by assuming the ceramics as an isotropic material. However, in practice, refractory ceramics exhibit anisotropic properties since they are manufactured by pressing ceramic powder along one particular direction. Hence, the impact- echo technique should be well refined to reflect the detailed properties of the refractories for accurate characterization of present state.
As the influence of nitrogen content in fuel gas is not considered in the conventional calculation method (1) of the excess air ratio in the flue gas, the calculation method is not appropriate in the calculation of thermal efficiency for the blast furnace gas fired boiler. In this paper, the calculation formula (18) of the excess air ratio in the flue gas for the blast furnace gas fired boiler was derived. Taking the performance tests of blast furnace gas fired boiler and natural gas fired boiler as examples, the excess air ratio in the flue gas was calculated according to (1) and (18) respectively. The results show that for the blast furnace gas fired boiler, the calculation result of (1) is significantly lower than that of (18). The disparity in the corresponding calculation results of thermal efficiency is obvious. Therefore, (1) is unsuitable for the performance test of blast furnace gas fired boiler. For natural gas fired boiler, the calculation results of (1) and (18) are almost the same.
Presents a system that allows experienced users to describe their knowledge so as to use a task bank to solve complex problems. Initially, this system has been developed to guide designers facing problems in a complex CAD environment. In this paper we will show how the different concepts we have introduced can be applied to process control systems. Therefore, we will illustrate the utilization of our system to describe a Sollac blast furnace control system, known as SACHEM. Having presented the different elements of the model for assisted design (MAD), we will describe a part of the SACHEM system. Then, we show the utilization of our model on the Sachem blast furnace control. In the last chapter, we conclude and give the future direction of our research.
In iron and steel works, byproduct gases - blast furnace gas (BFG) and coke oven gas (COG) - are widely flared and vented to the atmosphere without utilization. On account of this, it is an important task for the iron and steel works to sufficiently and effectively utilize BFG and COG so as to reduce waste gases emissions and save energy. On the other hand, the power generated through combusting waste gases will replace the major quantity of electricity that could have been generated by greenhouse gases (GHG) intensive fossil fuel power plant, thus GHG emission reductions could be achieved. In this study, the project of waste gases utilization for Combined Cycle Power Plant in Handan Iron & Steel Group Co., Ltd is used as a case to reveal the improved efficiency of energy and CO<sub>2</sub> emission reductions. The analyses are conducted based on using the ACM0004 methodology of Clean Development Mechanism "CDM". It is found that the expected annual power generation is 677,400MWh, which meets 36% electricity needs of the owner. The project will displace an equivalent amount of annual power currently drawn from the grid, leading to emission reductions of approximately 665,545 tons CO<sub>2</sub> equivalent annually.
This paper presents a study developed on a three-phase 11-MW synchronous motor with a solid salient-pole rotor of a blower drive system of a blast furnace at the Companhia Siderurgica Belgo-Mineira, Joao Monlevade, Brazil. A mechanical model including motor, gears, couplings, and blower is used in a simulation study to evaluate the torsional dynamics and stresses during motor startup and voltage sag conditions. In addition, the operation of the synchronous motor under voltage sag is analyzed with a comparative study between complete and approximated models of the motor. The utilization of a dynamic voltage restorer to protect the drive system under this abnormal situation is also evaluated.
Since fault diagnosis of blast furnace is very important in manufacturing, the prediction system is inefficient relatively. In this paper, a new strategy based on improved binary tree is proposed to solve diagnosis problem in blast furnace. According to the relations of categories in multi-class problem, it is needless to distinguish all the sorts. In order to improve classification efficiency, we take out the flimsy relatively support vectors in the proceeding of identifying, and then construct a new binary tree without flimsy branches by defining similarities between every two sorts. Compared with different multi-class classification algorithm, the simulation results show this algorithm keeps testing accuracy and proves better performance on identification efficiency and speed
Reducing the greenhouse gas emissions is the need of the hour. Five to eight percent of the world's man-made greenhouse gas emissions are from the Cement industry itself. It is an established fact that the green house gas emissions are reduced by 80% in Geopolymer concrete vis-a-vis the conventional Portland cement manufacturing, as it does not involve carbonate burns etc. Thus Geopolymer based Concrete is highly environment friendly and the same time it can be made a high-performance concrete. In the present study, fly ash, blast furnace slag and catalytic liquids have been used to prepare Geopolymer concrete mixes. This study is continued to investigate the behaviour of such Geopolymer concrete under high temperatures ranging from 100°C to 500°C. Cubes of size 100mm × 100mm × 100 mm are tested for their residual compressive strengths after subjecting them to these high temperatures.
A new kind of industrial high temperature radar has been developed, which is used for real-time monitoring of the burden surface under the harsh environment inside blast furnace (BF) and observing the decline rate of the burden surface. This radar technology is also used for determination of the burden profile through multi-point arrangement of the radars. The 26GHz frequency radar is introduced with the FMSW structure of the hardware model, as well as the heat and dust resistant solid burden surface algorithm with the monitoring range of 0-100 meter and the measurement accuracy of 1%, a specially designed ceramic antenna with the temperature range of 0-600 degree, and the drift < plusmn 0.1%/year. Six industrial high temperature radars have been installed on the top of the BF at the industrial field, and optimized the radar installation location through electromagnetic simulation. The real-time image of the burden surface has been obtained by surface fitting and digital simulation of the data from the six-point radars. The effective application of this technology has improved significantly the fluctuation of burden surface, the production of BF, the energy saving and gas emission reduction.
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