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Statistical process control with intelligence using fuzzy ART neural networks

Min WANG, Tao ZAN, Renyuan FEI,

《机械工程前沿（英文）》 2010年 第5卷 第2期   页码 149-156 doi: 10.1007/s11465-010-0008-y

摘要： With the automation development of manufacturing processes, artificial intelligence technology has been gradually employed to increase the automation and intelligence degree in quality control using statistical process control (SPC) method. In this paper, an SPC method based on a fuzzy adaptive resonance theory (ART) neural network is presented. The fuzzy ART neural network is applied to recognize the special disturbance of the manufacturing processes based on the classification on the histograms, which shows that the fuzzy ART neural network can adaptively learn the features of the histograms of the quality parameters in manufacturing processes. As a result, the special disturbance can be automatically detected when a feature of the special disturbance starts to appear in the histograms. At the same time, combined with spectrum analysis of the autoregressive model of quality parameters, the fuzzy ART neural network can also be utilized to adaptively detect the abnormal patterns in the control chart.

关键词： statistical process control (SPC)     fuzzy adaptive resonance theory (ART)     histogram     control chart     time series analysis    

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Progress in membrane distillation crystallization: Process models, crystallization control and innovative

Xiaobin Jiang, Linghan Tuo, Dapeng Lu, Baohong Hou, Wei Chen, Gaohong He

《化学科学与工程前沿（英文）》 2017年 第11卷 第4期   页码 647-662 doi: 10.1007/s11705-017-1649-8

摘要： Membrane distillation crystallization (MDC) is a promising hybrid separation process that has been applied to seawater desalination, brine treatment and wastewater recovery. In recent years, great progress has been made in MDC technologies including the promotion of nucleation and better control of crystallization and crystal size distribution. These advances are useful for the accurate control of the degree of supersaturation and for the control of the nucleation kinetic processes. This review focuses on the development of MDC process models and on crystallization control strategies. In addition, the most important innovative applications of MDC in the last five years in crystal engineering and pharmaceutical manufacturing are summarized.

关键词： membrane distillation crystallization     mathematics model     nucleation     separation     hybrid process    

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Interfacial induction and regulation for microscale crystallization process: a critical review

《化学科学与工程前沿（英文）》 2022年 第16卷 第6期   页码 838-853 doi: 10.1007/s11705-021-2129-8

摘要： Microscale crystallization is at the frontier of chemical engineering, material science, and biochemical research and is affected by many factors. The precise regulation and control of microscale crystal processes is still a major challenge. In the heterogeneous induced nucleation process, the chemical and micro/nanostructural characteristics of the interface play a dominant role. Ideal crystal products can be obtained by modifying the interface characteristics, which has been proven to be a promising strategy. This review illustrates the application of interface properties, including chemical characteristics (hydrophobicity and functional groups) and the morphology of micro/nanostructures (rough structure and cavities, pore shape and pore size, surface porosity, channels), in various microscale crystallization controls and process intensification. Finally, possible future research and development directions are outlined to emphasize the importance of interfacial crystallization control and regulation for crystal engineering.

关键词： interfacial crystallization     heterogeneous nucleation     supersaturation     micro/nanostructure     process control and intensification    

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膜结晶过程强化与控制研究进展 Review

姜晓滨, 邵钰珊, 盛磊, 李培钰, 贺高红

《工程（英文）》 2021年 第7卷 第1期   页码 50-62 doi: 10.1016/j.eng.2020.06.024

摘要：

结晶是用于固体颗粒制备的基本分离技术，其中成核和生长过程的精确调控至关重要。目前，发展同时增强整个结晶过程的新型控制技术仍然面临巨大挑战。膜结晶（MCr）是一种新兴耦合技术，近年来取得了长足的进步，有望实现上述目标。本文综述了MCr的基本概念及其在结晶控制和过程强化中的应用前景，对MCr用的关键膜材料、过程控制机制以及基于多种混合膜和结晶工艺的优化策略进行简述。最后，概述了将MCr技术推广到工业应用的尝试，以及需要解决的问题和研究方向。

关键词： 膜结晶     成核     过程控制     过程强化    

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Influencing factors and control measures of excavation on adjacent bridge foundation based on analytichierarchy process and finite element method

Shuangxi FENG, Huayang LEI, Yongfeng WAN, Haiyan JIN, Jun HAN

《结构与土木工程前沿（英文）》 2021年 第15卷 第2期   页码 461-477 doi: 10.1007/s11709-021-0705-0

摘要： Many uncertain factors in the excavation process may lead to excessive lateral displacement or over-limited internal force of the piles, as well as inordinate settlement of soil surrounding the existing bridge foundation. Safety control is pivotal to ensuring the safety of adjacent structures. In this paper, an innovative method is proposed that combines an analytic hierarchy process (AHP) with a finite element method (FEM) to reveal the potential impact risk of uncertain factors on the surrounding environment. The AHP was adopted to determine key influencing factors based on the weight of each influencing factor. The FEM was used to quantify the impact of the key influencing factors on the surrounding environment. In terms of the AHP, the index system of uncertain factors was established based on an engineering investigation. A matrix comparing the lower index layer to the upper index layer, and the weight of each influencing factor, were calculated. It was found that the excavation depth and the distance between the foundation pit and the bridge foundation were fundamental factors. For the FEM, the FE baseline model was calibrated based on the case of no bridge surrounding the foundation pit. The consistency between the monitoring data and the numerical simulation data for a ground settlement was analyzed. FE simulations were then conducted to quantitatively analyze the degree of influence of the key influencing factors on the bridge foundation. Furthermore, the lateral displacement of the bridge pile foundation, the internal force of the piles, and the settlement of the soil surrounding the pile foundation were emphatically analyzed. The most hazardous construction condition was also determined. Finally, two safety control measures for increasing the numbers of support levels and the rooted depths of the enclosure structure were suggested. A novel method for combining AHP with FEM can be used to determine the key influencing aspects among many uncertain factors during a construction, which can provide some beneficial references for engineering design and construction.

关键词： deep foundation pit excavation     adjacent bridge foundation     influencing factors     analytic hierarchy process     finite element    

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An integrated approach for machine-learning-based system identification of dynamical systems under control: application towards the model predictive control of a highly nonlinear reactor system

《化学科学与工程前沿（英文）》 2022年 第16卷 第2期   页码 237-250 doi: 10.1007/s11705-021-2058-6

摘要： Advanced model-based control strategies, e.g., model predictive control, can offer superior control of key process variables for multiple-input multiple-output systems. The quality of the system model is critical to controller performance and should adequately describe the process dynamics across its operating range while remaining amenable to fast optimization. This work articulates an integrated system identification procedure for deriving black-box nonlinear continuous-time multiple-input multiple-output system models for nonlinear model predictive control. To showcase this approach, five candidate models for polynomial and interaction features of both output and manipulated variables were trained on simulated data and integrated into a nonlinear model predictive controller for a highly nonlinear continuous stirred tank reactor system. This procedure successfully identified system models that enabled effective control in both servo and regulator problems across wider operating ranges. These controllers also had reasonable per-iteration times of ca. 0.1 s. This demonstration of how such system models could be identified for nonlinear model predictive control without prior knowledge of system dynamics opens further possibilities for direct data-driven methodologies for model-based control which, in the face of process uncertainties or modelling limitations, allow rapid and stable control over wider operating ranges.

关键词： nonlinear model predictive control     black-box modeling     continuous-time system identification     machine learning     industrial applications of process control    

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Techno-economic assessment of providing control energy reserves with a biogas plant

Ervin Saracevic, David Woess, Franz Theuretzbacher, Anton Friedl, Angela Miltner

《化学科学与工程前沿（英文）》 2018年 第12卷 第4期   页码 763-771 doi: 10.1007/s11705-018-1776-x

摘要：

Grid stability is being challenged by the increasing integration of power plants with volatile power generation into the energy system. Power supply fluctuations must be compensated by energy system flexibility. The storability of the energy carrier enables biogas plants to generate power flexibly. In this study, the technical and economic effects of providing positive secondary control energy reserves with an Austrian biogas plant were assessed. The plant’s main focus lies in biomethane production with the option of heat and power generation through combined heat and power (CHP) units. A detailed simulation model of the investigated biogas plant was developed, which is presented in this work. Ex-post simulations of one year of flexible plant operation were conducted with this model. The findings show that the installed biogas storage capacity is sufficient to provide control energy reserves while simultaneously producing biomethane. Profitability of providing control energy reserves largely depends on the prices at the control energy market and on CHP unit start-up costs. A cost efficiency analysis demonstrated that investing in a hot water tank with a volume of 5 m3 for short-term heat storage turned out to be economically viable.

关键词： biogas plant     process simulation     control energy reserves     economic assessment     gas storage    

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DE based economic control chart design and application for a typical petrochemical process

Zhi LI, Feng QIAN, Wenli DU, Weimin ZHONG

《工程管理前沿（英文）》 2017年 第4卷 第3期   页码 348-356 doi: 10.15302/J-FEM-2017043

摘要： Petrochemical industry plays an important role in the development of the national economy. Purified terephthalic acid (PTA) is one of the most important intermediate raw materials in the petrochemical and chemical fiber industries. PTA production has two parts: -xylene (PX) oxidation process and crude terephthalic acid (CTA) hydropurification process. The CTA hydropurification process is used to reduce impurities, such as 4-carboxybenzaldehyde, which is produced by a side reaction in the PX oxidation process and is harmful to the polyester industry. From the safety and economic viewpoints, monitoring this process is necessary. Four main faults of this process are analyzed in this study. The common process monitoring methods always use and SPE statistic as control limits. However, the traditional methods do not fully consider the economic viewpoint. In this study, a new economic control chart design method based on the differential evolution (DE) algorithm is developed. The DE algorithm transforms the economic control chart design problem to an optimization problem and is an excellent solution to such problem. Case studies of the main faults of the hydropurification process indicate that the proposed method can achieve minimum profit loss. This method is useful in economic control chart design and can provide guidance for the petrochemical industry.

关键词： petrochemical     PTA     economic control chart design     process monitoring     DE algorithm    

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Novel eco-efficient reactive distillation process for dimethyl carbonate production by indirect alcoholysis

Iulian Patraşcu, Costin S. Bîldea, Anton A. Kiss

《化学科学与工程前沿（英文）》 2022年 第16卷 第2期   页码 316-331 doi: 10.1007/s11705-021-2047-9

摘要： Dimethyl carbonate is an eco-friendly essential chemical that can be sustainably produced from CO , which is available from carbon capture activities or can even be captured from the air. The rapid increase in dimethyl carbonate demand is driven by the fast growth of polycarbonates, solvent, pharmaceutical, and lithium-ion battery industries. Dimethyl carbonate can be produced from CO through various chemical pathways, but the most convenient route reported is the indirect alcoholysis of urea. Previous research used techniques such as heat integration and reactive distillation to reduce the energy use and costs, but the use of an excess of methanol in the trans-esterification step led to an energy intensive extractive distillation required to break the dimethyl carbonate-methanol azeotrope. This work shows that the production of dimethyl carbonate by indirect alcoholysis of urea can be improved by using an excess of propylene carbonate (instead of an excess of methanol), a neat feat that we showed it requires only 2.64 kW·h·kg dimethyl carbonate in a reaction-separation-recycle process, and a reactive distillation column that effectively replaces two conventional distillation columns and the reactor for dimethyl carbonate synthesis. Therefore, less equipment is required, the methanol-dimethyl carbonate azeotrope does not need to be recycled, and the overall savings are higher. Moreover, we propose the use of a reactive distillation column in a heat integrated process to obtain high purity dimethyl carbonate (>99.8 wt-%). The energy requirement is reduced by heat integration to just 1.25 kW·h·kg dimethyl carbonate, which is about 52% lower than the reaction-separation-recycle process. To benefit from the energy savings, the dynamics and control of the process are provided for ±10% changes in the nominal rate of 32 ktpy dimethyl carbonate, and for uncertainties in reaction kinetics.

关键词： dimethyl carbonate     reactive distillation     process design     plantwide control    

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New method for computer numerical control machine tool calibration: Relay method

LIU Huanlao, SHI Hanming, LI Bin, ZHOU Huichen

《机械工程前沿（英文）》 2007年 第2卷 第3期   页码 301-304 doi: 10.1007/s11465-007-0053-3

摘要： Relay measurement method, which uses the kilogram-meter (KGM) measurement system to identify volumetric errors on the planes of computer numerical control (CNC) machine tools, is verified through experimental tests. During the process, all position errors on the entire plane table are measured by the equipment, which is limited to a small field. All errors are obtained first by measuring the error of the basic position near the original point. On the basis of that positional error, the positional errors far away from the original point are measured. Using this analogy, the error information on the positional points on the entire plane can be obtained. The process outlined above is called the relay method. Test results indicate that the accuracy and repeatability are high, and the method can be used to calibrate geometric errors on the plane of CNC machine tools after backlash errors have been well compensated.

关键词： positional     volumetric     information     process     repeatability    

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流程工业智能制造展望：过程系统工程师面临的挑战

Lockhart Bogle Ian David

《工程（英文）》 2017年 第3卷 第2期   页码 161-165 doi: 10.1016/J.ENG.2017.02.003

摘要：

本文讨论了流程工业智能制造对过程系统工程(PSE) 研究人员提出的挑战。现有的研究在实现全厂和全站点优化方面已经取得了很大进展，进行基准化测试能够增加说服力。本文进一步讨论了过程系统工程师在开发可用工具和技术时遇到的技术性挑战，包括灵活性和不确定性，响应性和敏捷性，鲁棒性和安全性，混合物性质和功能的预测，以及新的建模和数学范式。利用大数据进行智能化开发来驱动系统灵活性需要面对新的挑战，例如，如何在漫长又复杂的供应链中确保数据的一致性和机密性。建模方面也存在很多挑战，涉及如何对所有的关键技术进行恰当的建模，特别是健康、安全和环境方面，需要在特定地点对微小却关键的量进行准确预测。对环境方面的关注要求我们紧密跟踪所有的分子种类，以便于它们能被最佳地用于创造可持续的解决方案。而源自于新型个性化产品的破坏性商业模式对环境的影响则难以预测。

关键词： 智能制造     过程系统工程     不确定性     灵活性     优化     基于模型的控制    

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板带轧制工艺控制理论概要

张进之

《中国工程科学》 2001年 第3卷 第4期   页码 46-55

摘要：

以最小阻力定律、体积不变条件和秒流量相等条件为内容的经典轧制理论，经试验、演绎形成了较完整的轧制应用技术科学体系，这种体系所反映的是静态规律。在轧制理论发展中引入控制论、信息论、计算机科学等高新技术，对轧制过程进行控制。在轧制理论发展史上，弹跳方程建立之前是以力学为基础建立的经典轧制理论，之后为以力学和控制论为基础建立的基本轧制工艺控制理论。文章提出工艺控制理论概念，是在基本轧制工艺控制理论的基础上建立的新的理论体系，主要内容包括：在连轧张力理论中反映了张力的负反馈，建立了连轧张力理论体系；在厚控过程中，解决扰动的检测问题；在板形理论中，定义了对偶参数，确立了与 厚控理论相似的板形理论体系。

关键词： 连轧过程控制     连轧张力     厚度控制     板形刚度     轧机弹跳方程     综合等储备负荷分配    

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A pulsed switching peroxi-coagulation process to control hydroxyl radical production and to enhance 2,4

Yaobin Lu, Songli He, Dantong Wang, Siyuan Luo, Aiping Liu, Haiping Luo, Guangli Liu, Renduo Zhang

《环境科学与工程前沿（英文）》 2018年 第12卷 第5期 doi: 10.1007/s11783-018-1070-7

摘要：

• A new pulsed switching peroxi-coagulation (PSPC) system was developed.

• The ECT for 2,4-D removal in the PSPC was lower than that in the EF.

• The iron consumption for 2,4-D removal in the PSPC was lower than that in the PC.

关键词： Pulsed switching peroxi-coagulation system     Energy consumption     Hydroxyl radical production     2     4- Dichlorophenoxyacetic acid    

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基于高效清洁生产的全过程污染控制（WPPC）——中国钨行业典型案例研究 Article

曹宏斌, 赵赫, 张笛, 刘晨明, 林晓, 李玉平, 宁朋歌, 孙家君, 张懿, 孙峙

《工程（英文）》 2019年 第5卷 第4期   页码 768-776 doi: 10.1016/j.eng.2019.01.010

摘要：

本研究开发了一种称为全过程污染控制（WPPC）的成本效益方法，以提高过程优化的有效性。本方法以成本及环境影响最小化为目标，将废物处理作为生产过程的一部分。主要从以下方面开展了研究：①物质能量流调查，基于潜在污染物的分布和理化性质进行系统分析；②过程优化，提高不同元素的利用效率，减少污染物排放；③综合成本评估，揭示最佳优化方案。本研究选择仲钨酸铵生产作为案例，选取成本效益因子和环境影响指标进行不同优化方案的评价比较。本研究表明，考虑到潜在污染物的性质、技术创新、经济可行性、环境影响和法规要求，WPPC可有效地优化金属生产过程。

关键词： 全过程污染控制     过程优化     工业污染     钨    

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智能制造控制——多尺度研究领域的挑战

Han-Xiong Li, Haitao Si

《工程（英文）》 2017年 第3卷 第5期   页码 608-615 doi: 10.1016/J.ENG.2017.05.016

摘要：
《中国制造2025》计划要求从顾客到产品等全部环节的全面自动化。这将为生产制造系统的各个环节带来巨大挑战。在未来的加工制造领域中，全部的设备和系统应当具有对控制性和适应性的感知能力和基础智能化处理的能力。在研究中，经过关于多尺度动力学在现代加工制造系统中应用的讨论后，一个五层的功能结构被用于不确定的加工制造过程。多尺度力学包括：多时间尺度、多时空尺度以及多尺度的动力学标准。随着快速与慢速的时间尺度对设计的更多要求，不同的尺度所对应的不同控制行为也将呈现区分化。低速时间尺度下的操作需要更多的定量化手段，与此同时，高速时间尺度下的监管也需要更多高质量的手段。智能生产系统应当拥有灵活应变的能力、较好的适应能力及足够的智能化程度。这些能力需要我们通过控制性手段进行区分化处理并应用在不同方面，如智能感知、优化设计、智能学习等。最后，将一个典型的喷射点胶系统模型用于多尺度建模和控制。

关键词： 系统建模     过程控制     人工智能     加工制造     喷射点胶    

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标题 作者 时间 类型 操作

Statistical process control with intelligence using fuzzy ART neural networks

Min WANG, Tao ZAN, Renyuan FEI,

期刊论文

Progress in membrane distillation crystallization: Process models, crystallization control and innovative

Xiaobin Jiang, Linghan Tuo, Dapeng Lu, Baohong Hou, Wei Chen, Gaohong He

期刊论文

Interfacial induction and regulation for microscale crystallization process: a critical review

期刊论文

膜结晶过程强化与控制研究进展

姜晓滨, 邵钰珊, 盛磊, 李培钰, 贺高红

期刊论文

Influencing factors and control measures of excavation on adjacent bridge foundation based on analytichierarchy process and finite element method

Shuangxi FENG, Huayang LEI, Yongfeng WAN, Haiyan JIN, Jun HAN

期刊论文

An integrated approach for machine-learning-based system identification of dynamical systems under control: application towards the model predictive control of a highly nonlinear reactor system

期刊论文

Techno-economic assessment of providing control energy reserves with a biogas plant

Ervin Saracevic, David Woess, Franz Theuretzbacher, Anton Friedl, Angela Miltner

期刊论文

DE based economic control chart design and application for a typical petrochemical process

Zhi LI, Feng QIAN, Wenli DU, Weimin ZHONG

期刊论文

Novel eco-efficient reactive distillation process for dimethyl carbonate production by indirect alcoholysis

Iulian Patraşcu, Costin S. Bîldea, Anton A. Kiss

期刊论文

New method for computer numerical control machine tool calibration: Relay method

LIU Huanlao, SHI Hanming, LI Bin, ZHOU Huichen

期刊论文

流程工业智能制造展望：过程系统工程师面临的挑战

Lockhart Bogle Ian David

期刊论文

板带轧制工艺控制理论概要

张进之

期刊论文

A pulsed switching peroxi-coagulation process to control hydroxyl radical production and to enhance 2,4

Yaobin Lu, Songli He, Dantong Wang, Siyuan Luo, Aiping Liu, Haiping Luo, Guangli Liu, Renduo Zhang

期刊论文

基于高效清洁生产的全过程污染控制（WPPC）——中国钨行业典型案例研究

曹宏斌, 赵赫, 张笛, 刘晨明, 林晓, 李玉平, 宁朋歌, 孙家君, 张懿, 孙峙

期刊论文

智能制造控制——多尺度研究领域的挑战

Han-Xiong Li, Haitao Si

期刊论文