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Real time monitoring of bioreactor mAb IgG3 cell culture process dynamics via Fourier transform infraredspectroscopy: Implications for enabling cell culture process analytical technology?

Huiquan Wu, Erik Read, Maury White, Brittany Chavez, Kurt Brorson, Cyrus Agarabi, Mansoor Khan

《化学科学与工程前沿（英文）》 2015年第9卷第3期页码 386-406 doi: 10.1007/s11705-015-1533-3

摘要： Compared to small molecule process analytical technology (PAT) applications, biotechnology product PAT applications have certain unique challenges and opportunities. Understanding process dynamics of bioreactor cell culture process is essential to establish an appropriate process control strategy for biotechnology product PAT applications. Inline spectroscopic techniques for real time monitoring of bioreactor cell culture process have the distinct potential to develop PAT approaches in manufacturing biotechnology drug products. However, the use of inline Fourier transform infrared (FTIR) spectroscopic techniques for bioreactor cell culture process monitoring has not been reported. In this work, real time inline FTIR Spectroscopy was applied to a lab scale bioreactor mAb IgG3 cell culture fluid biomolecular dynamic model. The technical feasibility of using FTIR Spectroscopy for real time tracking and monitoring four key cell culture metabolites (including glucose, glutamine, lactate, and ammonia) and protein yield at increasing levels of complexity (simple binary system, fully formulated media, actual bioreactor cell culture process) was evaluated via a stepwise approach. The FTIR fingerprints of the key metabolites were identified. The multivariate partial least squares (PLS) calibration models were established to correlate the process FTIR spectra with the concentrations of key metabolites and protein yield of in-process samples, either individually for each metabolite and protein or globally for all four metabolites simultaneously. Applying the 2 derivative pre-processing algorithm to the FTIR spectra helps to reduce the number of PLS latent variables needed significantly and thus simplify the interpretation of the PLS models. The validated PLS models show promise in predicting the concentration profiles of glucose, glutamine, lactate, and ammonia and protein yield over the course of the bioreactor cell culture process. Therefore, this work demonstrated the technical feasibility of real time monitoring of the bioreactor cell culture process via FTIR spectroscopy. Its implications for enabling cell culture PAT were discussed.

关键词： process analytical technology (PAT) Fourier-transform infrared (FTIR) spectroscopy partial least squares (PLS) regression mouse IgG3 bioreactor cell culture process real time process monitoring

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高心墙堆石坝填筑施工过程实时监控系统研发与应用

崔博,胡连兴,刘东海

《中国工程科学》 2011年第13卷第12期页码 91-96

摘要：

文章针对高心墙堆石坝填筑施工特点，建立了过程控制指标体系，确定了过程监控方法，提出了解决方案，研制开发了具有实时性、高精度、自动化、全天候等特点的大坝填筑施工过程监控系统，实现土石料上坝运输过程、坝面填筑碾压过程的实时监控。该系统应用于亚洲第一高土石坝——糯扎渡心墙堆石坝的施工现场，建立了以监控系统为核心的施工过程控制体系，对大坝填筑施工的主要环节实现精细化的全天候实时监控，有效地控制了大坝填筑施工参数，提高了施工过程的质量控制水平与效率。

关键词：高心墙堆石坝填筑施工过程实时监控上坝运输填筑碾压研发与应用

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Real time monitoring for analysis of dam stability: Potential of nonlinear elasticity and nonlinear dynamics

T. CHELIDZE, T. MATCHARASHVILI, V. ABASHIDZE, M. KALABEGISHVILI, N. ZHUKOVA

《结构与土木工程前沿（英文）》 2013年第7卷第2期页码 188-205 doi: 10.1007/s11709-013-0199-5

摘要： Large dams are complex structures with nonlinear dynamic behavior. Engineers often are forced to assess dam safety based on the available incomplete data, which is extremely difficult. This important problem can be solved with the modern theory of complex systems. It is possible to derive characteristics of the whole unknown dynamics of a structure using few data sets of certain carefully selected representative parameter(s). By means of high quality continuous records of some geotechnical characteristic(s) of a dam and modern methods of time series linear/nonlinear analysis the main dynamical features of the entire, unknown process (here—dam deformation) can be analyzed. ?We created the cost-effective Monitoring Telemetric System for Dam Diagnostics (DAMWATCH), which consists of sensors (tiltmeters), terminal and central controllers connected by the GSM/GPRS Modem to the diagnostic center. The tilt data recorded for varying reservoir level are compared with static design model of dam deformations computed by a finite element method (FEM) for the dam-reservoir-foundation system. Besides, recently developed linear/nonlinear data analysis and prediction schemes may help to quantify fine dynamical features of the dam behavior. The software package DAMTOOL has been developed for this purpose. ?The differences between measured and theoretically predicted response parameters of the dam may signal abnormal behavior of the object. The data obtained already by testing of the DAMWATCH/DAMTOOL system during operation of the high Enguri arc dam and reservoir (Georgia) show interesting long-term and short-term patterns of tilts in the dam body, which can be used for dam diagnostics. The proposed real-time telemetric monitoring (DAMWATCH) complex and linear/nonlinear dynamical analysis system (DAMTOOL) are unique.

关键词： real time monitoring telemetry dam tilts diagnostic tools hysteresis nonlinear dynamics

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Real-time tool condition monitoring method based on temperature measurement and artificial neural network

《机械工程前沿（英文）》 doi: 10.1007/s11465-021-0661-3

摘要： Tool failures in machining processes often cause severe damages of workpieces and lead to large quantities of loss, making tool condition monitoring an important, urgent issue. However, problems such as practicability still remain in actual machining. Here, a real-time tool condition monitoring method integrated in an in situ fiber optic temperature measuring apparatus is proposed. A thermal simulation is conducted to investigate how the fluctuating cutting heats affect the measuring temperatures, and an intermittent cutting experiment is carried out, verifying that the apparatus can capture the rapid but slight temperature undulations. Fourier transform is carried out. The spectrum features are then selected and input into the artificial neural network for classification, and a caution is given if the tool is worn. A learning rate adaption algorithm is introduced, greatly reducing the dependence on initial parameters, making training convenient and flexible. The accuracy stays 90% and higher in variable argument processes. Furthermore, an application program with a graphical user interface is constructed to present real-time results, confirming the practicality.

关键词： tool condition monitoring cutting temperature neural network learning rate adaption

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WEIS wheel speed real-time measuring method for VOSM

Mengyao PAN, Guixiong LIU, Xiaobin HONG, Tusheng LIN,

《机械工程前沿（英文）》 2010年第5卷第3期页码 322-327 doi: 10.1007/s11465-010-0022-0

摘要： Wheel speed is one of the key parameters of vehicle operating attitude. To solve the problems in traditional wheel speed measuring methods, such as low measurement precision and the lack of real-time monitoring of the vehicle’s operating attitude, a wheel embedded intelligent sensors (WEIS) wheel speed measuring method for vehicle operating safety states monitoring (VOSM) is innovatively proposed. Radial acceleration signal is obtained through a WEIS module embedded in the hub. Using wavelet packet to implement wavelet de-noising for the non-stationary acceleration signals, and adopting short-time Fourier transform (STFT) algorithm to extract the signal characteristics, the wheel speed measurement can be achieved. The experimental result shows that under experimental conditions the speed measurement error is −2.05%, and the speed measuring response time is 0.45 s.

关键词： wheel embedded intelligent sensing wheel speed monitoring

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Development of a BIM-based holonic system for real-time monitoring of building operational efficiency

Alessandro CARBONARI, Leonardo MESSI, Berardo NATICCHIA, Massimo VACCARINI, Massimiliano PIRANI

《工程管理前沿（英文）》 2020年第7卷第1期页码 89-103 doi: 10.1007/s42524-019-0037-0

摘要： In the wide context of facility management, several processes, such as operations, maintenance, retrofitting, and renovations, ensure that buildings comply with the principles of efficiency, cost-effectiveness, and indoor comfort. Apart from ordinary operation, facility management is responsible for the renovation of and long-term performance improvement of building facilities. In such a scenario, the cyber–physical system (CPS) paradigm with holonic architecture, which is the focus of this study, can successfully guide the operation management and long-term refurbishment processes of buildings. Analogous to the manufacturing field, the developed CPS maximizes holons’ self-configuration and self-organization and overall throughput effectiveness metrics to detect the best corrective actions toward system improvements. Consequently, suggestions and lessons learned from the evaluation of building efficiency are redirected to the building information model. Hence, the digital model acts as a repository of currently available equipment for operations management and the history of diagnoses that support decision-making during the maintenance, retrofitting, and renovation processes. Evidently, the repeated detection of a specific issue, which is unaffected by operations management, should be considered an opportunity to act and enhance the performances of existing building components. Similar to a goods-producing industry, the building management system developed in this study applies the aforementioned methodology to provide services related to indoor comfort and building health. This approach indicates that a method for automatic real-time diagnosis is tested in a case study consisting of a multi-use and large public building. The current paper, which is an extended version of the one presented in the Creative Construction Conference 2018, deepens the decision support tool and the supervision policy. Moreover, the developed system is contextualized by providing an example of use case and highlighting the step forward in the field of smart buildings.

关键词： BIM building management system cyber-physical system facility management holonic system

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Real-time monitoring of brake shoe keys in freight cars

Rong ZOU,Zhen-ying XU,Jin-yang LI,Fu-qiang ZHOU

《信息与电子工程前沿（英文）》 2015年第16卷第3期页码 191-204 doi: 10.1631/FITEE.1400305

摘要： Condition monitoring ensures the safety of freight railroad operations. With the development of machine vision technology, visual inspection has become a principal means of condition monitoring. The brake shoe key (BSK) is an important component in the brake system, and its absence will lead to serious accidents. This paper presents a novel method for automated visual inspection of the BSK condition in freight cars. BSK images are first acquired by hardware devices. The subsequent inspection process is divided into three stages: first, the region-of-interest (ROI) is segmented from the source image by an improved spatial pyramid matching scheme based on multi-scale census transform (MSCT). To localize the BSK in the ROI, census transform (CT) on gradient images is developed in the second stage. Then gradient encoding histogram (GEH) features and linear support vector machines (SVMs) are used to generate a BSK localization classifier. In the last stage, a condition classifier is trained by SVM, but the features are extracted from gray images. Finally, the ROI, BSK localization, and condition classifiers are cascaded to realize a completely automated inspection system. Experimental results show that the system achieves a correct inspection rate of 99.2% and a speed of 5 frames/s, which represents a good real-time performance and high recognition accuracy.

关键词： Condition monitoring Feature expression Brake shoe key Machine vision

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Development of real-time onion disease monitoring system using image acquisition

Du-Han KIM, Kyeong-Hwan LEE, Chang-Hyun CHOI, Tae-Hyun CHOI, Yong-Joo KIM

《农业科学与工程前沿（英文）》 2018年第5卷第4期页码 469-474 doi: 10.15302/J-FASE-2018213

摘要：

In this study, real-time disease monitoring was conducted on onion which is the most representative crop in Republic of Korea, using an image acquisition system newly developed for the mobile measurement of phenotype. The purpose of this study was to improve the accuracy of prediction of disease and state variables by processing images acquired from monitoring. The image acquisition system was consisted of two parts, a motorized driving system and a PTZ (pan, tilt and zoom) camera to take images of the plants. The acquired images were processed as follows. Noise was removed through an image filter and RGB (red, green and blue) colors were converted to HSV (hue, saturation and value), which enabled thresholding of areas with different colors and properties for image binarization by comparing the color of onion leaf with ambient areas. Four objects with the most significant browning in the onion leaf to the naked eye were selected as the samples for data acquired. The thresholding method with image processing was found to be superior to the naked eye in identifying accurate disease areas. In addition, it was found that the incidence of disease was different in each disease area ratio. As a result, the use of image acquisition system in image processing analysis will enable more prompt detection of any changes in the onion and monitoring of disease outbreaks during the crop lifecycle.

关键词： imaging acquisition system disease downy mildew onion

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一种对工业过程复杂液体进行非接触原态在线实时监测方法 Article

段宁, 降林华, 徐夫元, 张歌

《工程（英文）》 2018年第4卷第3期页码 392-397 doi: 10.1016/j.eng.2018.05.005

摘要：

无法对工业过程大量存在的复杂液体在线实时监测导致资源消耗和污染产生过多的现象十分普遍。本文介绍一种对高强包裹性和高盐多组分液体中目标物质进行非接触原态在线实时监测的方法，该方法的原理是建立液体中目标物质浓度（C）、不同浓度目标物质色空间坐标(L*, a*, b*) 和最大吸收波长（λmax）三者之间的关系，利用最佳波长λT下高精度扫描式检测系统表达的液体光强信息直接测定流动液体中目标物质的瞬时浓度。与传统分析方法和现有在线分析方法不同，这种方法无需对样品进行任何预处理（过滤、稀释、定容、氧化/还原、添加显色剂等），可实现测试样品的原态化在线实时监测。将一家大型电解锰企业陈化液（Fe3+浓度0.5~18 mg•L-1，锰离子35~39 g•L-1，硫酸铵90~110 g•L-1）胶体化过程中三价铁离子浓度的实测结果与离线实验室测试结果相比，二者相对误差小于2%。

关键词：复杂液体原态监测在线实时非接触识别

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水压力传感器系统在河床冲刷深度实时监控中的应用研究

陈志坚,刘大伟,张雄文

《中国工程科学》 2007年第9卷第5期页码 17-21

摘要：

阐述了桩基础范围内的河床冲刷实时监测的必要性；介绍了水压力传感器监测系统的应用、技术难点和解决方案。通过潮位监测点的设置，有效解决了水位波动的修正问题，采用依托于基桩的单点定位埋设法实现了传感器可靠定位和传感器信号的可靠传输，苏通大桥的工程实践表明，该方法具有实时性、连续性、长期性和精度高的特点。根据实测结果分析了桩基础范围内河床局部冲刷的机理。

关键词：水压力传感器感潮河段群桩基础局部冲刷实时监测

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机泵群实时监测网络和故障诊断专家系统

高金吉

《中国工程科学》 2001年第3卷第9期页码 41-47

摘要：

应用现代信息技术和人工智能实施设备诊断工程，逐步实现状态维修和预知维修，是大型流程工业企业降低生产成本的重要途径之一。概要介绍为实现这一目标所开发的机电装备实时监测网络和人工智能诊断技术。简要介绍了基于Ethernet和FDDI开发、应用于石化企业的机、泵群实时监测网络；首次提出了黑灰白集合筛选法，在一次原因分析法和故障机理及其识别特征研究基础上，应用此方法开发的基于黑灰白集合筛选法的机械故障诊断专家系统，用于工程实践取得了满意的结果。

关键词：设备诊断工程实时监测网络人工智能诊断一次原因分析法黑灰白集合筛选法

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高碾压混凝土坝智能碾压理论研究

刘东海,李丙扬,崔博

《中国工程科学》 2011年第13卷第12期页码 74-79

摘要：

给出了高碾压混凝土坝智能碾压的概念及实现过程，提出了大坝实时监控和智能反馈控制的原理；在实时分析压实指标的基础上，建立了大坝压实质量多元回归模型，进而提出了碾压混凝土坝压实度全仓面实时评价方法；实现了施工过程中碾压机工作性态的自适应调整，确保碾压机速度、激振力、碾压遍数和压实厚度等全过程达标，可有效保证碾压质量，提高施工效率，为碾压混凝土坝建设质量控制提供了一条新的途径。

关键词：碾压混凝土坝质量控制智能碾压实时监控质量实时评估

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三塔悬索桥中间塔施工关键技术

田唯,刘建波,游新鹏

《中国工程科学》 2012年第14卷第5期页码 23-28

摘要：

泰州大桥中间塔采用深水沉井基础与纵向“人”字形钢塔相组合的结构形式，其施工极为复杂。该项目通过前期研究成果，在深水沉井基础施工过程中利用上下游锚墩定位技术，结合信息化实时监控系统，确保了沉井的准确定位和精确着床，同时采用终沉控制措施成功防止了沉井在终沉阶段的突沉、超沉现象。钢塔架设精度高，调整节段少，且在安装过程中结构存在多次体系转换，针对以上特点，采用几何控制的全过程控制理念，将节段制造误差、预拼装线性和架设误差进行统一分析，建立精度管理系统，最终钢塔的架设精度远远优于设计精度。泰州大桥中间塔施工取得了

关键词：泰州大桥锚墩定位实时监控终沉控制全过程控制架设精度

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Convergence to real-time decision making

James M. TIEN

《工程管理前沿（英文）》 2020年第7卷第2期页码 204-222 doi: 10.1007/s42524-019-0040-5

摘要： Real-time decision making reflects the convergence of several digital technologies, including those concerned with the promulgation of artificial intelligence and other advanced technologies that underpin real-time actions. More specifically, real-time decision making can be depicted in terms of three converging dimensions: Internet of Things, decision making, and real-time. The Internet of Things include tangible goods, intangible services, ServGoods, and connected ServGoods. Decision making includes model-based analytics (since before 1990), information-based Big Data (since 1990), and training-based artificial intelligence (since 2000), and it is bolstered by the evolving real-time technologies of sensing (i.e., capturing streaming data), processing (i.e., applying real-time analytics), reacting (i.e., making decisions in real-time), and learning (i.e., employing deep neural networks). Real-time includes mobile networks, autonomous vehicles, and artificial general intelligence. Central to decision making, especially real-time decision making, is the ServGood concept, which the author introduced in an earlier paper (2012). It is a physical product or good encased by a services layer that renders the good more adaptable and smarter for a specific purpose or use. Addition of another communication sensors layer could further enhance its smartness and adaptiveness. Such connected ServGoods constitute a solid foundation for the advanced products of tomorrow which can further display their growing intelligence through real-time decisions.

关键词： real-time decision making services goods ServGoods Big Data Internet of Things artificial intelligence wireless communications

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Studies on the liquid-liquid interfacial mass transfer process using holographic interferometry

ZHAO Chaofan, ZHU Chunying, MA Youguang

《化学科学与工程前沿（英文）》 2008年第2卷第1期页码 1-4 doi: 10.1007/s11705-008-0006-3

摘要： This paper aims at the interfacial phenomena of liquid-liquid mass transfer and its characteristic. By using the real-time holographic technique, the concentration distributions on the aqueous side were obtained according to holographic diagrams of mass transfer of ethanol through the interface of oil and water at different initial concentrations. Furthermore, the concentrations near the interface and the mass transfer coefficients were attained. A correlation of concentration near the interface to the concentration of the solute in the oil side was proposed. An approach of interfacial energy with solute concentration was established, and the calculated results are at good agreement with the experimental data. It is indicated that the liquid-liquid mass transfer process is approximately in accordance with two-film theory, the interfacial performance may be changed by the addition of the solute, and the interface of liquid-liquid is non-equilibrium thermodynamically during the mass transfer process.

关键词： liquid-liquid different real-time holographic addition transfer

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标题作者时间类型操作

Real time monitoring of bioreactor mAb IgG3 cell culture process dynamics via Fourier transform infraredspectroscopy: Implications for enabling cell culture process analytical technology?

Huiquan Wu, Erik Read, Maury White, Brittany Chavez, Kurt Brorson, Cyrus Agarabi, Mansoor Khan

期刊论文

高心墙堆石坝填筑施工过程实时监控系统研发与应用

崔博,胡连兴,刘东海

期刊论文

Real time monitoring for analysis of dam stability: Potential of nonlinear elasticity and nonlinear dynamics

T. CHELIDZE, T. MATCHARASHVILI, V. ABASHIDZE, M. KALABEGISHVILI, N. ZHUKOVA

期刊论文

Real-time tool condition monitoring method based on temperature measurement and artificial neural network

期刊论文

WEIS wheel speed real-time measuring method for VOSM

Mengyao PAN, Guixiong LIU, Xiaobin HONG, Tusheng LIN,