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Beijing Keji Daxue Xuebao/Journal of University of Science and technology Beijing 2011年第2期33卷 215-220页

作者： Chen, Xian-Zhong Yin, Yi-Xin Hou, Qing-Wen Li, Xiao-Li Ma, Jian Wang, Meng School of Information Engineering University of Science and Technology Beijing Beijing 100083 China Key Laboratory of the Ministry of Education of China for Advanced Control for Iron and Steel Process University of Science and Technology Beijing Beijing 100083 China

Metallurgical radar was developed which can be used in high temperature and hash production environments. It adopted an improved frequency-modulated continuous wave principle and enhanced the real-time performance of solid material level measurement. An intelligent time-varying threshold signal processing method was proposed to solve the radar ranging accuracy problem caused by the change of solid material surface reflection coefficient in a blast furnace. Measurement results in a solid-powder state material surface simulation environment in the laboratory shows that the measurement tracking delay of the metallurgical radar is within 0.2 s, and the maximum average tracking error is less than 0.05%. Field test results show that the average measurement error is 0.95%, indicating that the metallurgical radar is capable of stable material surface tracking in real-time and can meet the requirements of BF monitoring.

关键词： Blast furnaces

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Predicted control for strip thickness based on information fusion

Beijing Keji Daxue Xuebao/Journal of University of Science a...

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Beijing Keji Daxue Xuebao/Journal of University of Science and technology Beijing 2011年第3期33卷 358-362页

作者： Peng, Kai-Xiang Lai, Chun-Shan School of Information Engineering University of Science and Technology Beijing Beijing 100083 China Key Laboratory of the Ministry of Education of China for Advanced Control of Iron and Steel Process University of Science and Technology Beijing Beijing 100083 China

A state-space model of the control system in hot continuous rolling was proposed by using a recursive least squares algorithm by linearizing and discretizing the rolling force and thickness control equations. After an optimal information fusion algorithm based on Kalman filtering was presented, an asynchronous information fusion estimation algorithm was built for the complex multi-variable system of hot continuous rolling. This model was applied into the prediction of strip thickness and plasticity coefficient Q in the hot continuous rolling process. At last, the real-time forecast results of the coming strip thickness and plasticity coefficient of strips were synthetically utilized in the thickness control system of hot continuous rolling to improve the quality of final coming strip thickness.

关键词： Information fusion

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Electromagnetic characteristic simulation of burden surface radar measurements in the BF closed environment

Beijing Keji Daxue Xuebao/Journal of University of Science a...

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Beijing Keji Daxue Xuebao/Journal of University of Science and technology Beijing 2011年第1期33卷 87-92页

作者： Chen, Xian-Zhong Yin, Yi-Xin Hou, Qing-Wen Lu, Yi-Fang Wang, Pei-Yuan Li, Min School of Information Engineering University of Science and Technology Beijing Beijing 100083 China Key Laboratory of the Ministry of Education of China for Advanced Control for Iron and Steel Process University of Science and Technology Beijing Beijing 100083 China

Microwave electromagnetic characteristics in radar measurements of burden surfaces and media thickness of an ore and coke (O/C) layer were researched in the closed environment of a blast furnace (BF). With electromagnetic calculations and CST simulation software, a dielectric constant model of the media layer was developed to study the transmission, reflection and absorption characteristics of the burden surface and the O/C layer in BF. Also a reconstruction relational model of the number of distributing O/C layers in BF, microwave angle and frequency band concerned with the dielectric constant of the media layer was established. Using transmission and reflection electromagnetic characteristics of radar waves, combining with BF radar distributed radar sensor array installation and the different dielectric constants of the O/C layer in BF, the three-dimensional reconstruction imaging of burden surfaces and O/C layer thickness in BF was realized on-line.

关键词： Blast furnaces

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The multiscale simulation of metal organic chemical vapor deposition growth dynamics of GaInP thin film

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Science China(Physics,Mechanics & Astronomy) 2010年第8期53卷 1481-1490页

作者： HU GuiHua YU Tao Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of EducationEast China University of Science and TechnologyShanghai 200237China CIMS&Robot Center of Shanghai University Shanghai 200072China

As a Group III–V compound, GaInP is a high-efficiency luminous material. Metal organic chemical vapor deposition (MOCVD) technology is a very efficient way to uniformly grow multi-chip, multilayer and large-area thin film. By combining the computational fluid dynamics (CFD) and the kinetic Monte Carlo (KMC) methods with virtual reality (VR) technology, this paper presents a multiscale simulation of fluid dynamics, thermodynamics, and molecular dynamics to study the growth process of GaInP thin film in a vertical MOCVD reactor. The results of visualization truly and intuitively not only display the distributional properties of the gas’ thermal and flow fields in a MOCVD reactor but also display the process of GaInP thin film growth in a MOCVD reactor. The simulation thus provides us with a fundamental guideline for optimizing GaInP MOCVD growth.

关键词： metal organic chemical vapor deposition computational fluid dynamics kinetic Monte Carlo virtual reality multiscale simulation GaInP thin film growth

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Network management in WirelessHART network for industry application

Network management in WirelessHART network for industry appl...

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International Conference on Wireless Communications, Networking and Mobile Computing (WiCom)

作者： Yun, Zuo Zhihao, Ling Luming, Liu School of Information Science and Engineering East China University of Science and Technology Shanghai China Key Laboratory of Advanced Control and Optimization for Chemical Process Ministry of Education Shanghai China

ISBN: (纸本)9781424437092

The WirelessHART network is an emerging technology which aims at application in industry. The control network in industry always consists of many end devices and the environment is hash, so the network management of WirelessHART is very critical. This paper first introduced the wireless sensor network management mode and the critical techniques in WirelessHART network. Following that, network management in WirelessHART was analyzed and the solutions of some challenges were proposed. Finally it gave the expectation of WirelessHART technology. © 2010 IEEE.

关键词： Network management

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A novel approach for moving object detection based on improved particle swarm optimization algorithm

A novel approach for moving object detection based on improv...

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2010 8th IEEE International Conference on control and Automation, ICCA 2010

作者： Yu, Jin Zhou, Xuan Qian, Feng Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai 200237 China

ISBN: (纸本)9781424451951

In order to extract from the video sequence in a complete and consistent moving target, a novel algorithm for video object segmentation based on improved particle swarm optimization (IPSO) is presented. The algorithm fuses brightness segmentation and color information at 'region level', as to make up for conventional 'pixel level' approaches. The IPSO is taken into account for spatial segmentation of the video frame, which combines the mixture Gaussian model of temporal framework in achieving better segmentation. Adapting to the real-time video surveillance, the proposed algorithm can speed up the process of image segmentation, and make background modeling accurately to update. Comparisons were performed with other method that the proposed algorithm can detect intact moving objects even when objects appear and disappear suddenly. The experiment across different types of video shows the efficiency and stability of video object segmentation by the novel approach. © 2010 IEEE.

关键词： Image segmentation

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A fast bidirectional method for mining maximal frequent itemsets

A fast bidirectional method for mining maximal frequent item...

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3rd International Joint Conference on Computational Sciences and optimization, CSO 2010: Theoretical Development and Engineering Practice

作者： Wang, Chao Ni, Zhi-Wei Guo, Jun-Fen Key Laboratory of Process Optimization and Intelligent Decision-making Hefei University of Technology Ministry of Education Heifei Hefei Anhui China

ISBN: (纸本)9780769540306

In this paper, a fast bidirectional method and an efficient data compression method for mining maximal frequent itemsets is proposed. A flexible search method is given, which exploits the advantages of bottom-up and up-bottom strategies. The compression technique use the Prime number characteristics to transform transaction data into a positive integer and can efficiently reduce the size of transaction database. This method can mine maximal frequent itemsets according to different user-defined mininum support with only one scan of original database. Theoretical and experimental analysis shows that the proposed method is scalable and efficient for mining maximal frequent itemsets. © 2010 IEEE.

关键词： Data compression

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Design and implementation of automatic arithmetic generation system based on remote speech recognition

Design and implementation of automatic arithmetic generation...

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IEEE International Conference on Intelligent Computing and Intelligent Systems (ICIS)

作者： Yin, Xiangyuan Ling, Zhihao Guan, Liping Zhang, Luping Information Science and Engineering School of East China University of Science and Technology Shanghai China Zhejiang Wanli University Ningbo China Key Laboratory of Advanced Control and Optimization for Chemical Process Ministry of Education Shanghai China

ISBN: (纸本)9781424465835

In this paper, an automatic arithmetic generation system which can be remotely controlled by a particular speaker is designed and implemented to improve children's interest in learning math and facilitate parents to supervise children. The system is composed of the sender subsystem and the receiver subsystem. The sender subsystem is responsible to recognize speech and send the control command, and then the receiver subsystem can receive the command and execute corresponding program. The hardware system is made up of the SPCE061A microchip, keyboard, NRF2401 and LCD SPLC501 etc. The software system mainly achieves the following functions: recognition of speech, the control of NRF2401, random generation of arithmetic test samples, adjustment of different level, and supply of the correct answer. Finally, the system is experimented in some children. The result of experiment shows the system can greatly improve children's interest in learning math. ©2010 IEEE.

关键词： Speech recognition

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A new particle swarm optimization and the application in the soft sensor modeling

A new particle swarm optimization and the application in the...

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2010 8th IEEE International Conference on control and Automation, ICCA 2010

作者： Dang, Mingmei Wang, Zhenlei Qian, Feng East China University of Science and Technology China Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai China

ISBN: (纸本)9781424451951

Aiming at the disadvantages of the standard Particle Swarm optimization (PSO), a new particle swarm optimization algorithm based on dual mutation(DDPSO) is proposed. By comparing and analyzing the results of several Benchmark functions, the excellent performance of PSO is proved. The improved PSO is applied to optimize the structure and parameters in artificial neural network(ANN). The availability of algorithm optimizing neural network is proved by applying ANN in soft sensor modeling of propylene concentration measurement. © 2010 IEEE.

关键词： Neural networks

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A hybrid ant colony algorithm for the Cutting Stock Problem

A hybrid ant colony algorithm for the Cutting Stock Problem

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2010 International Conference on Future Information technology and Management Engineering, FITME 2010

作者： Peng, Jin Chu, Zhang Shu School of Management Hefei University of Technology Key Laboratory Process Optimization and Intelligent Decision-Making Ministry of Education Hefei Anhui Province China

ISBN: (纸本)9781424490882

This study presents a new hybrid ant colony algorithm (HACO) to solve an in integer linear programming formulation of the Cutting Stock Problem(CSP). The CSP is an important class combinatorial problem. It is appropriate to minimize the raw material used by industries for fulfilling customer's demands. In such cases, classic models for solving the cutting stock problem are useless. HACO consists of GDCP procedure and modified ACO (MACO). GDCP procedure provides dominative cutting patterns as MACO solution components, in MACO the pheromone trail is put on cutting patterns instead of items. MACO preserves cutting patterns and frequencies information under ants building solution procedure. Results obtained from computational experiments for ten benchmarks demonstrate that the performance of MACO is compared to that obtained using existing mete-heuristic algorithm. © 2010 IEEE.

关键词： Heuristic algorithms

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