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A Case Study Applying Mesoscience to Deep Learning

engineering 2024年第8期39卷 84-93页

作者： Li Guo Fanyong Meng Pengfei Qin Zhaojie Xia Qi Chang Jianhua Chen Jinghai Li State Key Laboratory of Multiphase Complex Systems Institute of Process EngineeringChinese Academy of SciencesBeijing 100190China School of Chemical Engineering University of Chinese Academy of SciencesBeijing 100049China

In this paper,we propose mesoscience-guided deep learning(MGDL),a deep learning modeling approach guided by mesoscience,to study complex *** establishing sample dataset based on the same system evolution data,different from the operation of conventional deep learning method,MGDL introduces the treatment of the dominant mechanisms of complex system and interactions between them according to the principle of compromise in competition(CIC)in *** constraints are then integrated into the loss function to guide the deep learning *** methods are proposed for the addition of mesoscience *** physical interpretability of the model-training process is improved by MGDL because guidance and constraints based on physical principles are *** was evaluated using a bubbling bed modeling case and compared with traditional *** a much smaller training dataset,the results indicate that mesoscience-constraint-based model training has distinct advantages in terms of convergence stability and prediction accuracy,and it can be widely applied to various neural network *** MGDL approach proposed in this paper is a novel method for utilizing the physical background information during deep learning model *** exploration of MGDL will be continued in the future.

关键词： Mesoscience Deep learning Complex system Gas-solid system Bubbling bed

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Application of the Sub-Riemannian Problem with the Growth Vector (2, 3, 5, 8) to the Study of the Elasticity of a Homogeneous Beam 16

Application of the Sub-Riemannian Problem with the Growth Ve...

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16th International Conference on Stability and Oscillations of Nonlinear control systems (Pyatnitskiy's Conference), STAB 2022

作者： Sachkova, Elena A. K. Ailamazyan Institute of Program Systems of RAS Control Process Research Center Pereslavl-Zalessky Russia

ISBN: (纸本)9781665465861

The paper considers a left-invariant nilpotent sub-Riemannian problem with a growth vector (2,3,5,8), and its mechanical interpretation is formulated. The results of modeling the boundaries of circular sections of homogeneous beams using previously calculated circular (2, 3, 5, 8)-trajectories are given. Namely, the equations of plane arcs of trajectories parametrized by the length of the chord and the area of the segment are given. From mechanical properties (2, 3, 5, 8)-problem the functions of two variables (chords and areas) are derived, which calculate the moments of resistance at a pure straight bend of the beam in the circular case. The significance of the results obtained lies in the fact that they allow you to automatically design beam sections according to a small set of characteristics, taking into account the a priori specified strength of the beams, since the stress in the beam section is inversely proportional to the moment of resistance of the beam during bending. © 2022 IEEE.

关键词： Resistance Bending Nonlinear control systems Elasticity Mathematical models Stability analysis Trajectory

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BEAM: Bilevel Evaluation and Analysis of Multi-Object-Tracking Under Latency 27

BEAM: Bilevel Evaluation and Analysis of Multi-Object-Tracki...

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27th IEEE International Conference on Intelligent Transportation systems, ITSC 2024

作者： Bauer, Erik Yin, Yue Ayeb, Mohamed Krause, Christoph Brabetz, Ludwig Eth Zurich. Work Done during Internship at Bmw Group Department of Mechanical and Process Engineering Switzerland Bmw Group Germany University of Kassel Germany Department of Vehicle Systems and Fundamentals of Electrical Engineering Germany

ISBN: (纸本)9798331505929

Environmental perception, particularly multi-object-tracking, is a crucial part of autonomous vehicles. However, system-level disturbances like latencies and jittering sampling rates can highly degrade the performance of multi-object-tracking (MOT) systems, which in turn compromises the functionality and safety of the vehicle. In this work, we propose BEAM, a novel framework for evaluating MOT performance with respect to system-level disturbances such as perception latency. BEAM utilizes a bilevel evaluation scheme: first, a tracking state error distribution is computed for both the disturbed and undisturbed system. The relative change of the two distributions is measured using the Jensen-Shannondivergence, from which we distill an easily interpretable evaluation score. In extensive experiments, we evaluate a state-of-the-art MOT tracking system on a real-world dataset (KITTI) both with and without a spatio-temporal latency compensator, injecting different perception latencies. Comparing BEAM to current MOT evaluation metrics, we show that our proposed framework is able to provide meaningful evaluation scores under latency where other metrics begin to fail. With our work, we present a novel disturbance-focused evaluation framework which explicitly evaluates both state precision and robustness against adverse system-level conditions. By introducing BEAM, we aim to contribute to more robust, safer perception systems through disturbance-focused evaluation. © 2024 IEEE.

关键词： Object tracking

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HOUSEHOLD AND WHOLE SYSTEM ASSESSMENTS OF GROUND-SOURCE HEAT PUMP DEPLOYMENT FOR DOMESTIC HEAT DECARBONISATION IN THE UK 37

HOUSEHOLD AND WHOLE SYSTEM ASSESSMENTS OF GROUND-SOURCE HEAT...

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37th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy systems, ECOS 2024

作者： Mersch, Matthias Sapin, Paul Suthagar, Aaron Wright, Jonathan Mac Dowell, Niall Markides, Christos N. Laboratory Department of Chemical Engineering London United Kingdom Imperial College London Centre for Environmental Policy London United Kingdom Imperial College London Sargent Centre for Process Systems Engineering London United Kingdom

ISBN: (纸本)9798331307660

Domestic heating accounts for a large share of carbon dioxide emissions in the UK, and only little progress has been made so far in decarbonising the sector. Ground-source energy systems consisting of a ground-source heat pump, a thermal energy store and potentially a backup heating system are an attractive candidate for low-carbon heating of domestic properties. In this work, we combine a household-level ground-source energy system optimisation model with a national whole-energy system optimisation model to perform a holistic assessment of the role and value of ground-source energy systems in the UK net-zero energy system transition. The design and operation of ground-source energy systems is optimised at the household level, and optimal domestic heating technology portfolios and the impact of heat electrification on the wider energy system are assessed using the whole-energy optimisation model. Results show that at the household level larger heat pumps and thermal energy stores that can shift operation to off-peak hours are preferred, while at the whole-energy system level the systems with lowest investment costs are preferred. A combination of investment cost subsidies and/or higher natural gas prices is required for ground-source energy systems to compete with gas boilers. The current subsidy of 7, 500 £ requires gas price above 50 £/MWh for ground-source energy systems to become the dominant domestic heating technology, while at subsidies above 10, 000 £ ground-source energy systems are competitive at historical average low natural gas prices of 20 to 30 £/MWh. © 2024 37th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy systems, ECOS 2024. All rights reserved.

关键词： Clean energy

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E-Nose-Based Cross-Domain Recognition of Combustion-Supporting Agents via M-BFFNet 42

E-Nose-Based Cross-Domain Recognition of Combustion-Supporti...

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42nd Chinese control Conference, CCC 2023

作者： Wang, De-Xiu Meng, Qing-Hao Han, Rui-Xue Li, Hong-Yue Hou, Hui-Rang Institute of Robotics and Autonomous Systems School of Electrical and Information Engineering Tianjin University Tianjin Key Laboratory of Process Measurement and Control Tianjin300072 China Tianjin Navigation Instruments Research Institute Tianjin300131 China

ISBN: (纸本)9789887581543

Identification of the type of combustion-supporting agents (CSAs) by an electronic nose (e-nose) is severely limited due to the absence of untested gas concentration in the e-nose training set. In order to solve this problem, this study designs an e-nose for classifying four CSAs (Diesel, Gasoline, Ethanol and Thinner), and builds cross-concentrations data set. This study uses Gramian Angular Field method that converts one-dimensional time series data to two-dimensional data, and proposes an algorithm named the Multi-Branch Feature Fusion Network (M-BFFNet). This algorithm passes the one-dimensional and two-dimensional data through two different networks and obtains two types of features. First, the algorithm can strength the one-dimensional raw data, integrate the advantages of different networks, and fuse the characteristics of different networks. Second, it can learn the characteristics of volatile gas with specific concentrations to identify the unknown concentrations. Last, a feature fusion module is designed to improve the algorithm ability of learning odor fingerprint. In order to verify the superiority of the algorithm, this study tests the recognition performance of the e-nose based systems and compares the proposed M-BFFNet with traditional algorithms. The results show that the proposed M-BFFNet improves the identification accuracy compared to other algorithms. According to the analysis of this work, the M-BFFNet can be used to identify CSAs with unknown concentrations. © 2023 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Electronic nose

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Effect of Retained Austenite on Corrosion Behavior of Ultrafine Bainitic Steel in Marine Environment

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Acta Metallurgica Sinica(English Letters) 2023年第5期36卷 717-731页

作者： Xian Zhang Li Gong Yanpeng Feng Zhihui Wang Miao Yang Lin Cheng Jing Liu Kaiming Wu Hubei Province Key Laboratory of Systems Science in Metallurgical Process The State Key Laboratory of Refractories and MetallurgyCollaborative Innovation Center for Advanced SteelsWuhan University of Science and TechnologyWuhan430081China School of Chemistry Chemical Engineering and Life SciencesWuhan University of TechnologyWuhan430070China

In this study,the impact of retained austenite on corrosion initiation,propagation,and resistance of ultrafine bainitic steels in marine environments based on the one-step and two-step bainitic isothermal transformation was investigated using a combination of theoretical calculations and experimental *** to the results,the microstructure of ultrafine bainitic steels was composed of parallel arranged bainite ferrite(BF)and retained austenite(RA).The fraction of the block RA was significantly reduced,whereas the amount of the film RA increased through the two-step bainitic *** the initial stage of corrosion,micro-galvanic effects occurred between the multiphases due to the difference in nobility,leading to the selective dissolution of BF sheaves,which is adjacent to the block RA in the one-step bainitic ***,uniformly distributed film RA in the two-step bainitic steel acted as a barrier against corrosion *** electrochemical measurements and neutral salt spray tests revealed a relatively lower corrosion rate for the two-step bainitic steel,indicating a higher corrosion resistance than the one-step bainitic *** corrosion products layer mainly consisted ofα-FeOOH,γ-FeOOH,and Fe_(3)O_(4),which were stable and favorable for the formation of a protective rust layer.

关键词： Ultrafine bainitic steel Retained austenite Marine environment Corrosion behavior First principle modeling

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PREPARATION AND PROPERTIES OF THE LOW-COST HEAT-RESISTANT RUBBER MATERIAL FOR TRENCHLESS REHABILITATION OF THERMAL PIPELINES

PREPARATION AND PROPERTIES OF THE LOW-COST HEAT-RESISTANT RU...

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ASME 2024 Pressure Vessels and Piping Conference, PVP 2024

作者： Wang, Zhongzhen Li, Yao Yasin, Sohail Zheng, Ce Hu, Peiyu Zhang, Liang Shi, Jianfeng Institute of Process Equipment College of Energy Engineering Zhejiang University Hangzhou China Beijing Heating Municipal Engineering Construction Co. Ltd Beijing China Institute of Thermal Science and Power Systems College of Energy Engineering Zhejiang University Hangzhou China Institute of Process Equipment College of Energy Engineering Zhejiang University Hangzhou China Donghai Laboratory Zhoushan China

ISBN: (纸本)9780791888506

Trenchless rehabilitation technology is a pipeline repair technology with the advantages of high construction efficiency and low impact on the environment. It is currently used in the repair of drainage pipelines and oil pipelines. Thermal pipelines transport hot water or hot steam from heat sources to buildings. They are an essential part of urban heating systems. With the increase in elapsed service life, thermal pipeline failure occurs frequently, so it is necessary to apply trenchless rehabilitation technology to repair thermal pipelines to improve the speed and efficiency of repair. However, the temperature of the conveying medium in thermal pipelines can reach 100°C, and plastic materials such as polyethylene (PE), commonly used in trenchless repair technology, cannot withstand the high working temperature. There are heat-resistant rubber materials with excellent properties, but the prices are too high to be widely used in trenchless rehabilitation technology. Therefore, this study analyzed the material temperature resistance and mechanical property requirements for applying trenchless rehabilitation technology to thermal pipelines. Using natural rubber (NR) and ethylene propylene diene monomer (EPDM) rubber as the matrix, the low-cost heat-resistant rubber material was successfully prepared by adding deep eutectic solvents (DES). The mechanical properties and heat aging resistance of the rubber material were tested. The results show that the rubber material has excellent mechanical properties and can meet the usage conditions of thermal pipelines. After aging at 150°C for 200 hours, the mechanical properties of the rubber material can still be maintained at a high level, meeting the long-term requirements of thermal pipelines. After economic analysis, the price of this rubber material was lower than 10 dollars per kilogram and can be applied in trenchless rehabilitation technology. Copyright © 2024 by ASME.

关键词： Rubber Heat Pipelines thermal aging heat-resistant rubber Trenchless technology trenchless rehabilitation

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Solubility determination and thermodynamic modeling of bis-2-hydroxyethyl terephthalate(BHET)in different solvents

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Chinese Journal of Chemical engineering 2022年第5期35卷 294-300页

作者： Haoyu Yao Dongxia Yan Xingmei Lu Qing Zhou Yinan Bao Junli Xu Beijing Key Laboratory of Ionic Liquids Clean Process CAS Key Laboratory of Green Process and EngineeringState Key Laboratory of Multiphase Complex SystemsInstitute of Process EngineeringChinese Academy of SciencesBeijing 100190China School of Chemical and Engineering University of Chinese Academy of SciencesBeijing 100049China Sino Danish College University of Chinese Academy of SciencesBeijing 100049China Innovation Academy for Green Manufacture Chinese Academy of SciencesBeijing 100190China College of Chemical Engineering Beijing Institute of Petrochemical TechnologyBeijing 102617China

Studies on the degradation process of waste polyethylene terephthalate(PET)have become increasingly mature,but there are relatively few studies on the separation of degradation *** products contain many components and the separation of which is ***,the study on phase equilibrium thermodynamics of bis-2-hydroxyethyl terephthalate(BHET)is of great theoretical significance and practical value to provide basic data for the BHET crystallization *** this work,the degraded products were purified and *** solubility of BHET in methanol,ethanol,ethylene glycol,water and the mixture of ethylene glycol+water were determined by static *** experimental results were correlated with different models,such as ideal solution(IS)model,λh equation,Apelblat equation and NRTL *** on the van’t Hoff equation,the mixing Gibbs energy,enthalpy and entropy were *** this work,the basic data which can be used to guide the crystallization process of BHET were obtained,including solubility data,correlation model and thermodynamic properties.

关键词： Bis-2-hydroxyethyl terephthalate Purified Characterized Solubility Correlation model Thermodynamics properties

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Data-Driven EMPC with Design of Terminal Ingredients

Data-Driven EMPC with Design of Terminal Ingredients

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International Conference on control, Instrumentation, and Automation

作者： Fatemeh Ostovar Ali Akbar Safavi Leonhard Urbas Department of Power & Control Engineering Shiraz University Shiraz Iran Department of Process Control Systems Technische Universität Dresden Dresden Germany

ISBN: (数字)9798331509972

ISBN: (纸本)9798331509989

This paper introduces a novel data-driven economic model predictive control (EMPC) framework for linear time-invariant (LTI) systems, using Willems’ Fundamental Lemma to describe system behavior with persistently exciting data. Our method incorporates terminal ingredients, including a terminal cost and terminal constraint, to ensure recursive feasibility and asymptotic stability. We detail the design procedure for these terminal ingredients within the data-driven EMPC context. The paper concludes by confirming the strong duality property, feasibility and stability of the economically optimal equilibrium in the closed-loop system. The proposed EMPC framework is validated through its application to an isothermal stirred-tank reactor (CSTR), demonstrating its effectiveness.

关键词： Linear systems Asymptotic stability Costs Instruments Chemical reactions Stability analysis Nonlinear systems Isothermal processes Optimization Predictive control

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Optimization-based scheduling of heat-integrated multipurpose batch plants using a discrete temperature grid 35

Optimization-based scheduling of heat-integrated multipurpos...

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35th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy systems, ECOS 2022

作者： Seele, Hagen Steufmehl, Frederik Hagedorn, Dörthe Kämper, Andreas Reinert, Christiane von der Aßen, Niklas Institute of Technical Thermodynamics RWTH Aachen University Aachen52062 Germany Energy & Process Systems Engineering Department of Mechanical and Process Engineering ETH Zürich Zürich8092 Switzerland

ISBN: (纸本)9788774756989

Heat integration is an essential element of decarbonization strategies towards low-carbon energy systems. Direct heat integration offers the opportunity to increase the energy efficiency of batch plants. However, direct heat integration requires that heat sources and sinks coincide. The corresponding heating and cooling requirements depend on the production schedule. Thus, heat recovery should be considered during scheduling to allow exploiting the benefits of heat-integrated batch processes. We propose a mixed-integer linear programming (MILP) model to simultaneously optimize production schedules and energy supply of heat-integrated multipurpose batch plants. The optimization aims to maximize the profit of the batch plant. We extend a discrete-time scheduling formulation to be able to consider energy demands, heat exchangers, and energy supply. Energy demands of the production schedule are modeled by explicitly considering heat capacity flow rates and temperatures. The heat exchanger model accounts for given heat exchanger areas and thermodynamic feasibility by utilizing a discretized temperature grid as well as a linear approximation of the logarithmic mean temperature difference (LMTD). We apply the proposed model to a case study adapted from the literature. We find that the simultaneous optimization of production schedule and energy supply leads to lower utility costs than a scheduling approach, which ignores heat integration. As a result, the simultaneous approach leads to profits more than 20 % higher. © Proceedings of ECOS 2022 - 35th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy systems.

关键词： Energy efficiency

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