陈丙珍
能源和资源的优化利用,在化工系统综合、结构柔性、优化管理、人工智能应用、故障诊断、过程数据校正和在线优化等前沿领域中展开研究
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- 姓名:陈丙珍
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学术头衔:
博士生导师
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学科领域:
化学工程基础学科
- 研究兴趣:能源和资源的优化利用,在化工系统综合、结构柔性、优化管理、人工智能应用、故障诊断、过程数据校正和在线优化等前沿领域中展开研究
陈丙珍,(1936-),女,教授,清华大学化工系。1959年毕业于莫斯科门捷列夫化工系院,随后于1962年在该校获得技术科学副博士学位。自70年代后期即致力于化工系统工程新学科的建设和工业实用,创建了教学科研基地。围绕石化企业全厂能源和资源的优化利用,在化工系统综合、结构柔性、优化管理、人工智能应用、故障诊断、过程数据校正和在线优化等前沿领域中展开研究。不少创新性成果在工业实践中得到了应用,主要有:换热网络优化综合技术;石化企业操作-管理整体优化策略;基于人工神经网络的操作调优策略;数据校正与在线优化集成系统等。曾获全国科技大会重大科技成果奖1项,国家科技进步奖1项,省部级奖9项。出版专著1本,译著2本,86年来发表论文160篇左右,其中SCI/EI收录约70篇。
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10
【期刊论文】Application of steady-state detection method based on wavelet transform
陈丙珍, Taiwen Jiang a, Bingzhen Chen b, *, Xiaorong He b, Paul Stuart a
Computers and Chemical Engineering 27(2003)569-578,-0001,():
-1年11月30日
A wavelet-based method is proposed for steady-state detection in continuous processes. In this method, process trends are extracted from the measured raw data via wavelet-based multi-scale processing. The process status is then measured using an index with value ranging from 0 to 1 according to the wavelet transform modulus of the extracted process signal. Finally, a steady state is identified if the computed index is small (close to zero). The determination of a characteristic scale for performing steady-state detection was also studied. Compared with the existing approaches for steady-state detection, this method has better precision for detecting changes in process due to the good localization property of wavelet transform, and is more suitable for on-line applications. In this paper, the method is described in detail, and has then been applied to the crude oil unit of a refinery, and to the recausticizing plant of a chemical pulp mill.
Steady-state detection, Wavelet transform, Multi-scale processing, Characteristic scale, Oil refinery, Pulp and paper mill
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【期刊论文】Steady-state online data reconciliation in a crude oil distillation unit
陈丙珍, B.LI, B. Chen, J. Wang and S. Cong
,-0001,():
-1年11月30日
In petrochemical processes, it is necessary to ensure the reliability and validity of process data for admimstrative management and many technical applications. These include process control and online srmulation and optimization. Steady-state onlme data reconciliation and new methods for data classifying, steady-state identification and gross error handling were adopted to develop an online data reconciliation system (DRS). The DRS has bee successfully implemented with the online optimization system in the crude oil distillation unit at Lanzhou petroleum refinery in China Using reliable and valid data achieved through online data reconciliation, the online optimization results showed a profit increase of more than 4 million RMB.
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【期刊论文】Study on flexibility of sensor network for linear processes
陈丙珍, Bo Li, Bing-zhen Chen *
Computers and Chemical Engineering 26(2002)1363-1368 ,-0001,():
-1年11月30日
This article addresses a new aspect of the problem of sensor network design, namely the concept of flexibility of sensor network. Algorithms based on graph theoretical concepts and MINLP methods are developed for analyzing the flexibility of a given sensor network, designing a flexible sensor network, and upgrading a sensor network to improve its flexibility. Several examples are reported to illustrate the presented algorithms. Using the proposed approach, one can obtain a flexible sensor network, which is able to ensure the observability of all the key variables even under some cases in which the original flowsheet changes.
Flexibility, Sensor network design, MINLP
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【期刊论文】Wavelet-Based Regularization of Dynamic Data Reconciliation
陈丙珍, Mingfang Kong, Bingzhen Chen, * and Xiaorong He
Ind. Eng. Chem. Res. 2002, 41, 3405-3412,-0001,():
-1年11月30日
Dynamic data reconciliation can supply more accurate data for dynamic optimization, dynamic fault diagnosis, and control by means of incorporating process information in some mathematical model. It will be an ill-posed inverse problem if the sensitive input variables are unmeasured; here, the sensitive input variable is defined as the variable that, if it is unmeasured, can only be estimated through the differentiation of other measured variables. In such a case, existing methods cannot obtain correct and usable data effectively. To address the problem, based on the principle of regularization, the wavelets are adopted to construct regular operators. And, a new approach is proposed to determine the optimal scale level corresponding to the optimal approximate operator in which the prior statistical information of the signal is utilized. The algorithm can deal with the estimation of unknown sensitive input variable effectively. The results show that more accurate estimation of the sensitive input variable can be obtained by using the proposed method as compared with the one obtained by using existing collocation methods based on polynomials.
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陈丙珍, Taiwen Jiang, Bingzhen Chen*, Xiaorong He
Computers and Chemical Engineering 24(2000)507-512,-0001,():
-1年11月30日
In this paper, Wavelet Transform is applied to improve the on-line prediction of crude oil distillation (COD) qualities. First, the wavelets-based multi-scale analysis method was applied to treat the process data effectively. According to their unique characteristics with multi-scale Wavelet Transform, different variations are detected and modified, such as steps, peaks, noises, abnormal sudden changes, and so on. Using the process data with noises discarded and abnormal sudden changes treated effectively, the COD quality prediction can be sure of safety and high accuracy. Next, for some COD units on-line quality analyzers are available, and a new correcting strategy is taken in this paper to give effective update. The update is accomplished based on process data trends extraction. At last, the data processing and the on-line update strategy are introduced to a prediction system of COD product qualities to improve its prediction accuracy. The improved prediction system has been applied in a real plant, and the results are satisfactory.
Wavelet transform, On-line quality prediction, Data processing, Process trends extraction, On-line update
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【期刊论文】An Integral approach to dynamic data rectification
陈丙珍, Kong Mingfang, Chen Bingzhen*, Li Bo
Computers and Chemical Engineering 24(2000)749-753,-0001,():
-1年11月30日
Because industrial process is often under changes, it is necessary to reconcile the measurement of the dynamic process. There are many problems in the present dynamic data reconciliation methods, such as low calculation efficiency, difficulty of treatment for the reconciliation of input variables. Based on the analysis of the characteristic of dynamic data reconciliation, an integral approach is presented which integrates finite element collocation method, filtering technique and robust method. The finite element collocation method can reduce the amount of discrete model constrained equations to decrease the problem complexity without any loss of measurement information. The filtering technique can eliminate random errors in input variables effectively and no lag or signal distortion will be introduced. Monte Carlo method is used to test the efficiency of the robust method for gross error detection. The calculation results show that the integral approach can improve the calculation efficiency greatly- and can deal with the gross error of abnormal type properly.
Dynamic date reconciliation, Finite element collocation, Filtering technique, Robust method, Monte Carlo method
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74浏览
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陈丙珍, Jinsong Zhao, Bingzhen Chen*, Jingzhu Shen
Computers and Chemical Engineering 23(1998)83-92,-0001,():
-1年11月30日
Dealing with multidimensional problems has been the "bottle-neck" for implementing wavenets to process systems engineering. To tackle this problem, a novel multidimensional wavelet (MW) is presented with its rigorously proven approximation theorems. Taking the new wavelet function as the activation function in its hidden units, a new type of wavenet called multidimensional non-orthogonal non-product wavelet-sigmoid basis function neural network (WSBFN) model is proposed for dynamic fault diagnosis. Based on the heuristic learning rules presented by authors, a new set of heuristic learning rules is presented for determining the topology of WSBFNs. The application of the proposed WSBFN is illustrated in detail with a dynamic hydrocracking process.
Multidimension, Wavelet, Neural network, Fault diagnosis, Dynamic process
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【期刊论文】NEURAL NETWORK INTELLIGENT SYSTEM FOR THE ON-LINE OPTIMIZATION IN CHEMICAL PLANTS*
陈丙珍, Chen Bingzhen**and He Xiaorong
Chinese J. of Chem. Eng., 5 (1) 57-62 (1997),-0001,():
-1年11月30日
A strategy of developing on-line optimization intelligent systems based on combining flo wsheeting simulation and optimization package with artificial neural networks (ANN) is presented in this paper. A number of optimization cases for a certain chemical plant are obtained off-line by using PROCESS-Ⅱ or other flowsheeting programming with optimization. Then, taking these cases as training examples, we establish a neural network systems which can be used on-line as an optimizer to obtain setpoints from input data sampled from distributed control system through gross errordetecton and datareconciliation procedures./Such an on-line optimizer possesses two advantages over nonlinear programming package: first of all, there is no convergence problem for the trained ANN to be used online; secondly, the frequency for setpoints updating is not limited because only algebraic calculation rather than optimization is required to be carried out on-line. Here two key problems of implementing ANN approaches to the on-line optimization are discussed: how to improve the prediction accuracy of ANNs models for meeting the optimization requirements. Results from an actual fractionation unit of a FCC plant in a refinery showed a 0.5%-1.0% increase in the total recovery of light oil products. Details of the strategy used are described.
artificial neural network,, on-line optimization,, intelligent system
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【期刊论文】DEVELOPMENT OF AN EXPERT SYSTEM FOR SYNTHESIS OF HEAT EXCHANGER NETWORKS
陈丙珍, B. CHEN†, J, SHEN, Q. SUN and S. Hu
Computers chem. Engng, Vol. 13, No.11/12, pp. 1221-1227, 1989,-0001,():
-1年11月30日
A knowledge-based system for aiding in the construction of practical heat exchanger networks called SPHEN is presented in this article. The created network configurations feature low utility cost, low capital investment, rather stabie heat recovery during operation and rational distribution of pressure drops among the network branches. SPHEN consists of four component parts: network construction, simulator, flowsbeet diagram generation and user's feedback subsystem. So SPHEN is characterized by its hybridity, reflected in knowledge representation and abstraction, solving methods and implementation languages. The hybrid system is implemented through disk files and data files connecting different parts into one working space. An example of redesigning an energy recovery network of a large-scale crude oil unit is illustrated and the results obtained are successful.
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【期刊论文】STRUCTURAL FLEXIBILITY FOR HEAT INTEGRATED DISTILLATION COLUMNS-I. ANALYSIS
陈丙珍, CHEN BINGZHEN† and. ARTHUR W. WESTERBERG†
Chemucai Engineering Scrence. Vol. 41. No.2, pp. 355-363. 1986.,-0001,():
-1年11月30日
In two related papers we define the concept of structural flexlbility and apply it specifically to a class of heat integrated distillation processes. A process ts structurally feasible if the type of equipment it contains and how it is currently configured allow it to meet specified design requirements. It is structurally infeasible if it does not. Size of equipment is not at issue. The first paper develops a simple rnethod to permit an estimate to be made of a structural flexibility index for a heat integrated distillation process with a fixed configuration. Multieffect columns are permitted. This work shows, that processes that differ only in their heat integration can have very different indices for structural flexibility. The second paper presents a synthesis metfiodotogy to discover the heat integrated arrangements which maximize the structural flexibility index for the process, Only the simpler arrangements of such columns are considered where they are placed one above the other and without multieffecting. The papers present algorithms by example. Insights are stressed.
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