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Research Trends in Information Technology Applications in Construction Safety Engineering and Management

Mirosɬaw J. Skibniewski

Frontiers of Engineering Management 2014, Volume 1, Issue 3,   Pages 246-259 doi: 10.15302/J-FEM-2014034

Abstract: Seventy-one articles published during this time focused on Information Technology (IT) applications in

Keywords： automation     international research journal     research trends     industrial safety engineering and management    

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Smart systems engineering contributing to an intelligent carbon-neutral future: opportunities, challenges, and prospects

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 6,   Pages 1023-1029 doi: 10.1007/s11705-022-2142-6

Abstract: communication paper provides an overview of multi-scale smart systems engineering (SSE) approaches and their applications

Keywords： machine learning     modeling     material     industrial applications     environment    

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Study of zeolite membranes for pervaporation dehydration and their applications

Gu Xuehong,Xu Nanping

Strategic Study of CAE 2014, Volume 16, Issue 12,   Pages 52-58

Abstract: A pretreatment method was then proposed and industrial pervaporation plants were built up，which have

Keywords： pervaporation     zeolite membrane     organic dehydration     industrial application    

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Conservation and adaptive reuse of industrial heritage in Shanghai

ZHANG Song

Frontiers of Structural and Civil Engineering 2007, Volume 1, Issue 4,   Pages 481-490 doi: 10.1007/s11709-007-0065-4

Abstract: This paper takes a retrospective review of the evolution of the conservation of industrial heritage inurban Shanghai since the 1990s within the context of the international industrial heritage conservation

Keywords： evolution     industrial     international industrial     retrospective     Shanghai    

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Special issue: Innovative applications of big data and artificial intelligence

Frontiers of Engineering Management 2022, Volume 9, Issue 4,   Pages 517-519 doi: 10.1007/s42524-022-0234-0

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Conservation and adaptive-reuse of historical industrial building in China in the post-industrial era

WANG Jianguo, JIANG Nan

Frontiers of Structural and Civil Engineering 2007, Volume 1, Issue 4,   Pages 474-480 doi: 10.1007/s11709-007-0064-5

Abstract: The conservation and adaptive-reuse of historical industrial building is one of the most important issuesthis paper, the necessity and academic meaning of the conservation and adaptive-reuse of historical industrial, and the basic contents of the implementation of the conservation and adaptive-reuse of historical industrialprinciples and relevant core technical specifications based on the empirical researches on the historical industrial

Keywords： historical industrial     industrial building     implementation     adaptive-reuse     empirical    

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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

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 2,   Pages 237-250 doi: 10.1007/s11705-021-2058-6

Abstract: 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.

Keywords： model predictive control     black-box modeling     continuous-time system identification     machine learning     industrialapplications of process control    

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Can industrial intelligence promote industrial transformation? ––Case of mining enterprises

Anlin SHAO

Frontiers of Engineering Management 2017, Volume 4, Issue 3,   Pages 375-378 doi: 10.15302/J-FEM-2017108

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Industrial water treatment and industrial marine outfalls: Achieving the right balance

Adrian W. K. Law,Chunyan Tang

Frontiers of Chemical Science and Engineering 2016, Volume 10, Issue 4,   Pages 472-479 doi: 10.1007/s11705-016-1592-0

Abstract: Industrial water treatment and industrial marine outfalls both function together to reduce the pollutantsynergistic nature, marine outfalls are now commonly used for the disposal of partially treated domestic and industrialWe also discuss the end-of-the-pipe and mixing zone approaches for industrial effluents, and give some

Keywords： industrial effluent treatment     industrial marine outfalls     economic and environmental considerations    

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Advanced biomass materials: progress in the applications for energy, environmental, and emerging fields

Frontiers of Chemical Science and Engineering 2023, Volume 17, Issue 7,   Pages 795-797 doi: 10.1007/s11705-023-2336-6

Abstract: Advanced biomass materials: progress in the applications for energy, environmental, and emerging fields

Keywords： progress applications energy     fields    

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A review on the forward osmosis applications and fouling control strategies for wastewater treatment

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 5,   Pages 661-680 doi: 10.1007/s11705-021-2084-4

Abstract: During the last decades, the utilization of osmotic pressure-driven forward osmosis technology for wastewater treatment has drawn great interest, due to its high separation efficiency, low membrane fouling propensity, high water recovery and relatively low energy consumption. This review paper summarizes the implementation of forward osmosis technology for various wastewater treatment including municipal sewage, landfill leachate, oil/gas exploitation wastewater, textile wastewater, mine wastewater, and radioactive wastewater. However, membrane fouling is still a critical issue, which affects water flux stability, membrane life and operating cost. Different membrane fouling types and corresponding fouling mechanisms, including organic fouling, inorganic fouling, biofouling and combined fouling are therefore further discussed. The fouling control strategies including feed pre-treatment, operation condition optimization, membrane selection and modification, membrane cleaning and tailoring the chemistry of draw solution are also reviewed comprehensively. At the end of paper, some recommendations are proposed.

Keywords： forward osmosis     wastewater treatment     membrane fouling     fouling control    

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Li Ruifeng: Main Applications of Industrial Robots (2019-9-15)

李瑞峰(高级职称)

7 Jul 2020

Keywords： 智能制造    

Applications of dynamical complexity theory in traditional Chinese medicine

Yan Ma,Shuchen Sun,Chung-Kang Peng

Frontiers of Medicine 2014, Volume 8, Issue 3,   Pages 279-284 doi: 10.1007/s11684-014-0367-6

Abstract: We believe that there could be many promising applications of this dynamical complexity concept in TCMIn this article, we propose some promising applications and research areas that TCM practitioners and

Keywords： traditional Chinese medicine     Multiscale Entropy     dynamical complexity     system level     applications    

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Bridging the gap: Neuro-Symbolic Computing for advanced AI applications in construction

Frontiers of Engineering Management   Pages 727-735 doi: 10.1007/s42524-023-0266-0

Abstract: Deep Learning (DL) has revolutionized the field of Artificial Intelligence (AI) in various domains such as computer vision (CV) and natural language processing. However, DL models have limitations including the need for large labeled datasets, lack of interpretability and explainability, potential bias and fairness issues, and limitations in common sense reasoning and contextual understanding. On the other side, DL has shown significant potential in construction for safety and quality inspection tasks using CV models. However, current CV approaches may lack spatial context and measurement capabilities, and struggle with complex safety and quality requirements. The integration of Neuro-Symbolic Computing (NSC), an emerging field that combines DL and symbolic reasoning, has been proposed as a potential solution to address these limitations. NSC has the potential to enable more robust, interpretable, and accurate AI systems in construction by harnessing the strengths of DL and symbolic reasoning. The combination of symbolism and connectionism in NSC can lead to more efficient data usage, improved generalization ability, and enhanced interpretability. Further research and experimentation are needed to effectively integrate NSC with large models and advance CV technologies for precise reporting of safety and quality inspection results in construction.

Keywords： advanced AI in construction     safety and quality inspection     Neuro-Symbolic Computing     Deep Learning     computer vision    

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Industrial solid waste flow analysis of eco-industrial parks: implications for sustainable waste management

Yongpeng Lü, Kai YANG, Yue CHE, Zhaoyi SHANG, Jun TAI, Yun JIAN

Frontiers of Environmental Science & Engineering 2012, Volume 6, Issue 4,   Pages 575-587 doi: 10.1007/s11783-011-0344-0

Abstract: Sustainable waste management in the industrial ecology perspective brings enormous challenges to theexisting methodology of waste analysis at the industrial park (IP) scale.In this study, a four-step method was proposed for industrial solid waste (ISW) flow analysis of eco-industrialAccording to a park-wide census of 619 industrial enterprises and 105 questionnaires by a survey from14001 certification, the efficiencies of the ISW management systems have yet to be improved in the industrial

Keywords： industrial solid waste     waste flow analysis     eco-industrial parks     sustainable waste management     “not in    

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Title Author Date Type Operation

Research Trends in Information Technology Applications in Construction Safety Engineering and Management

Mirosɬaw J. Skibniewski

Journal Article

Smart systems engineering contributing to an intelligent carbon-neutral future: opportunities, challenges, and prospects

Journal Article

Study of zeolite membranes for pervaporation dehydration and their applications

Gu Xuehong,Xu Nanping

Journal Article

Conservation and adaptive reuse of industrial heritage in Shanghai

ZHANG Song

Journal Article

Special issue: Innovative applications of big data and artificial intelligence

Journal Article

Conservation and adaptive-reuse of historical industrial building in China in the post-industrial era

WANG Jianguo, JIANG Nan

Journal Article

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

Journal Article

Can industrial intelligence promote industrial transformation? ––Case of mining enterprises

Anlin SHAO

Journal Article

Industrial water treatment and industrial marine outfalls: Achieving the right balance

Adrian W. K. Law,Chunyan Tang

Journal Article

Advanced biomass materials: progress in the applications for energy, environmental, and emerging fields

Journal Article

A review on the forward osmosis applications and fouling control strategies for wastewater treatment

Journal Article

Li Ruifeng: Main Applications of Industrial Robots (2019-9-15)

李瑞峰(高级职称)

7 Jul 2020

Conference Videos

Applications of dynamical complexity theory in traditional Chinese medicine

Yan Ma,Shuchen Sun,Chung-Kang Peng

Journal Article

Bridging the gap: Neuro-Symbolic Computing for advanced AI applications in construction

Journal Article

Industrial solid waste flow analysis of eco-industrial parks: implications for sustainable waste management

Yongpeng Lü, Kai YANG, Yue CHE, Zhaoyi SHANG, Jun TAI, Yun JIAN

Journal Article