Industrial waste salts are commonly used to make value-added snow-melting agents to ensure traffic safety in northern China during winter and spring after snowfall.However,heavy metals in industrial waste salts may po...Industrial waste salts are commonly used to make value-added snow-melting agents to ensure traffic safety in northern China during winter and spring after snowfall.However,heavy metals in industrial waste salts may pose certain environmental risks.Snow-melting agents and snow samples were collected and analyzed from highways,arterial roads,footbridges,and other locations in Beijing after the snowstorm in December 2023.It was found that the main component of snow-melting agents was sodium chloride with high concentrations of Cu,Mn,and Zn,which are not regulated in the current policies,despite the recent promotion of environmentally friendly snow-melting agents.The Pb,Zn and Cr contents of some snow samples exceeded the limitation value of surface water quality standards,potentially affecting the soil and water environment near roadsides,although the snow-melting agents comply with relevant standards,which indicates the policy gap in the management of recycled industrial salts.We reviewed and analyzed the relevant standards for snow-melting agents and industrial waste salts proposed nationally and internationally over the past 30 years.Through comparative analysis,we proposed relevant policy recommendations to the existing quality standards of snow-melting agents and the management regulations of industrial waste salts,and the formulation of corresponding usage strategies,aimed at reducing the potential environmental release of heavy metals from the use of snow-melting agents,thereby promoting more sustainable green urban development and environmentally sound waste management.展开更多
Although the effectiveness of a tuned viscous mass damper(TVMD)as an inerter-based device for vibration control in civil structures has been thoroughly investigated,there is a lack of systematic research regarding the...Although the effectiveness of a tuned viscous mass damper(TVMD)as an inerter-based device for vibration control in civil structures has been thoroughly investigated,there is a lack of systematic research regarding the application of TVMDs for seismic response control of industrial buildings coupled with mechanical equipment.Therefore,this study proposes ungrounded and grounded TVMDs to effectively utilize the mass of the mechanical equipment and fully exploit the capabilities of the inerter element.An optimal design methodology is developed by pursuing the maximum effective damping ratio and seeking the most rational TVMD control scheme.Validation of TVMD control performance is conducted through time-history analysis based on 20 real seismic ground motions recommended by ATC-40,and by providing a barrel mixer industrial building as a real-life numerical example.The results show that both an ungrounded and grounded TVMD can effectively mitigate the seismic response of the primary structure.Compared to the traditional tuned mass damper(TMD),TVMDs can obtain improved control performance for a given equipment mass ratio.Moreover,an ungrounded TVMD and a TMD show similar working mechanisms that tend to release the displacement of equipment to keep their optimal state,whereas equipment displacement for a grounded TVMD should be strictly limited to provide sufficient anti-force.展开更多
The application of industrial solid wastes as environmentally functional materials for air pollutants control has gained much attention in recent years due to its potential to reduce air pollution in a cost-effective ...The application of industrial solid wastes as environmentally functional materials for air pollutants control has gained much attention in recent years due to its potential to reduce air pollution in a cost-effective manner.In this review,we investigate the development of industrialwaste-based functional materials for various gas pollutant removal and consider the relevant reaction mechanism according to different types of industrial solid waste.We see a recent effort towards achieving high-performance environmental functional materials via chemical or physical modification,in which the active components,pore size,and phase structure can be altered.The review will discuss the potential of using industrial solid wastes,these modified materials,or synthesized materials from raw waste precursors for the removal of air pollutants,including SO_(2),NO_(x),Hg^(0),H_(2)S,VOCs,and CO_(2).The challenges still need to be addressed to realize this potential and the prospects for future research fully.The suggestions for future directions include determining the optimal composition of these materials,calculating the real reaction rate and turnover frequency,developing effective treatment methods,and establishing chemical component databases of raw industrial solid waste for catalysts/adsorbent preparation.展开更多
With the continuous advancement and maturation of technologies such as big data,artificial intelligence,virtual reality,robotics,human-machine collaboration,and augmented reality,many enterprises are finding new avenu...With the continuous advancement and maturation of technologies such as big data,artificial intelligence,virtual reality,robotics,human-machine collaboration,and augmented reality,many enterprises are finding new avenues for digital transformation and intelligent upgrading.Industry 5.0,a further extension and development of Industry 4.0,has become an important development trend in industry with more emphasis on human-centered sustainability and flexibility.Accordingly,both the industrial metaverse and digital twins have attracted much attention in this new era.However,the relationship between them is not clear enough.In this paper,a comparison between digital twins and the metaverse in industry is made firstly.Then,we propose the concept and framework of Digital Twin Systems Engineering(DTSE)to demonstrate how digital twins support the industrial metaverse in the era of Industry 5.0 by integrating systems engineering principles.Furthermore,we discuss the key technologies and challenges of DTSE,in particular how artificial intelligence enhances the application of DTSE.Finally,a specific application scenario in the aviation field is presented to illustrate the application prospects of DTSE.展开更多
Fault detection in industrial robot drive systems is a critical aspect of ensuring operational reliability and efficiency.To address the challenge of balancing accuracy and robustness in existing fault detection metho...Fault detection in industrial robot drive systems is a critical aspect of ensuring operational reliability and efficiency.To address the challenge of balancing accuracy and robustness in existing fault detection methods,this paper proposes an enhanced fault detection method based on the unscented Kalman filter(UKF).A comprehensive mathematical model of the brushless DC motor drive system is developed to provide a theoretical foundation for the design of subsequent fault detection methods.The conventional UKF estimation process is detailed,and its limitations in balancing estimation accuracy and robustness are addressed by introducing a dynamic,time-varying boundary layer.To further enhance detection performance,the method incorporates residual analysis using improved z-score and signal-tonoise ratio(SNR)metrics.Numerical simulations under both fault-free and faulty conditions demonstrate that the proposed approach achieves lower root mean square error(RMSE)in fault-free scenarios and provides reliable fault detection.These results highlight the potential of the proposed method to enhance the reliability and robustness of fault detection in industrial robot drive systems.展开更多
Foreign-funded overseas industrial parks(OIPs)are crucial for attracting foreign investment and promoting globalization in developing countries.However,large-scale land acquisition for these parks generates conflicts ...Foreign-funded overseas industrial parks(OIPs)are crucial for attracting foreign investment and promoting globalization in developing countries.However,large-scale land acquisition for these parks generates conflicts between developers and local stakeholders,increasing development costs.A qualitative multicase study was conducted in this study to analyze the land transaction trajectories of China's OIPs.Four OIPs were selected to reveal the underlying mechanisms from the perspectives of institutional arrangements,governance mechanisms,and enterprise heterogeneity.The findings indicate that in host countries with insufficient institutional development,local governments are more inclined to directly engage in OIP land acquisition.High-level intergovernmental mechanisms facilitate land acquisition processes,although their efficacy depends largely on administrative power allocation across parks in host countries.The results also indicate that enterprise characteristics significantly influence land acquisition,where microscale private enterprises lacking political connections often employ low-cost,bottom-up strategies by leveraging international experience.In summary,policy-makers in developing countries should prioritize enhancing OIP governance to mitigate transaction costs,promote diversified land supply,and optimize land allocation.By depicting China's OIP land acquisition processes,this study deepens the academic understanding of OIP governance in developing countries and related international land transactions,offering practical OIP management insights for governments in both host and parent countries.展开更多
Electrical energy can be harvested from the rotational kinetic energy of moving bodies,consisting of both mechanical and kinetic energy as a potential power source through electromagnetic induction,similar to wind ene...Electrical energy can be harvested from the rotational kinetic energy of moving bodies,consisting of both mechanical and kinetic energy as a potential power source through electromagnetic induction,similar to wind energy applications.In industries,rotational bodies are commonly present in operations,yet this kinetic energy remains untapped.This research explores the energy generation characteristics of two rotational body types,disk-shaped and cylinder-shaped under specific experimental setups.The hardware setup included a direct current(DC)motor driver,power supply,DC generator,mechanical support,and load resistance,while the software setup involved automation testing tools and data logging.Electromagnetic induction was used to harvest energy,and experiments were conducted at room temperature(25℃)with controlled variables like speed and friction.Results showed the disk-shaped body exhibited higher energy efficiency than the cylinder-shaped body,largely due to lower mechanical losses.The disk required only two bearings,while the cylinder required four,resulting in lower bearing losses for the disk.Additionally,the disk experienced only air friction,whereas the cylinder encountered friction from a soft,uneven rubber material,increasing surface contact losses.Under a 40 W resistive load,the disk demonstrated a 17.1%energy loss due to mechanical friction,achieving up to 15.55 J of recycled energy.Conversely,the cylinder body experienced a 48.05%energy loss,delivering only 51.95%of energy to the load.These insights suggest significant potential for designing efficient energy recycling systems in industrial settings,particularly in manufacturing and processing industries where rotational machinery is prevalent.Despite its lower energy density,this system could be beneficially integrated with energy storage solutions,enhancing sustainability in industrial practices.展开更多
Based on the requirements of local high-quality economic development and addressing the critical task of transformation and upgrading in the tea industry,this paper systematically discusses the necessity and feasibili...Based on the requirements of local high-quality economic development and addressing the critical task of transformation and upgrading in the tea industry,this paper systematically discusses the necessity and feasibility of constructing an optimal industrialization operation system driven by the dual wheels of"branding+standardization".The article first clarifies the connotation of high-quality development and the synergistic mechanism between branding and standardization.It then analyzes the current situation and bottlenecks of China's tea industry development.Subsequently,it proposes a dual-wheel drive strategy where branding enhances value and standardization guarantees quality,and designs a systematic implementation plan involving industrial chain synergy optimization and integrated support from government,industry,academia,research,and application.On this basis,strategies and suggestions are proposed,encompassing the starting point,standard focal points,key effort areas,innovation points,and target achievement points.The aim is to promote the tea industry to break through homogeneous competition,achieve value ascent,and provide important industrial support for regional high-quality development through the construction of the aforementioned system.展开更多
Based on an analysis of the role of industrial control and optimization technologies in the Industrial Revolution,as well as the current situation and existing problems of operational decision-making(ODM)for industria...Based on an analysis of the role of industrial control and optimization technologies in the Industrial Revolution,as well as the current situation and existing problems of operational decision-making(ODM)for industrial process,this paper introduces the concept of intelligent ODM in industrial process,shapes its future directions,and highlights key technical challenges.By the tight conjoining of and coordination between industrial artificial intelligence(AI)with industrial control and optimization technologies,as well as the Industrial Internet with industrial computer management and control systems,an intelligent operational optimization decision-making methodology is proposed for complex industrial process.The intelligent ODM methodology and its successful application demonstrate that the tight conjoining of and coordination between next-generation information technologies with industrial control and optimization technologies will promote the development of industrial intelligent ODM.Finally,main research directions and ideas are outlined for realizing intelligent ODM in industrial process.展开更多
This paper provides a comparative sociological analysis of the application models for industrial robots in the automotive and electronics industries.The integration of robots in these two key sectors has been a signif...This paper provides a comparative sociological analysis of the application models for industrial robots in the automotive and electronics industries.The integration of robots in these two key sectors has been a significant milestone in the evolution of modern manufacturing,contributing to major shifts in production processes,labor markets,and organizational structures.Through a comprehensive review of literature and case studies,the paper identifies and contrasts the driving factors for robot adoption,the impact of automation on the workforce,and the sociocultural factors influencing these transitions.The automotive industry,characterized by high-volume production and cost-efficiency,and the electronics industry,known for precision and fast-paced production,present unique challenges and opportunities in robot integration.By examining these differences,the paper aims to offer insights into the broader social and economic implications of industrial robot deployment and its effect on industry dynamics and labor relations.The findings highlight not only the technological benefits but also the social challenges associated with automation in these industries.展开更多
Industrial intelligence and secure interconnection serve as the foundational platform and critical information infrastructure for new industrialization,carrying significant strategic importance.They not only function ...Industrial intelligence and secure interconnection serve as the foundational platform and critical information infrastructure for new industrialization,carrying significant strategic importance.They not only function as the core engine driving the transformation and upgrading of the manufacturing sector and ensuring stable socioeconomic operation but are also vital to enhancing national technological competitiveness and safeguarding industrial security.展开更多
The rapid evolution of industrial robots from automation tools to intelligent systems marks a pivotal shift in manufacturing practices within the framework of Industry 4.0.Industrial robots,once limited to repetitive ...The rapid evolution of industrial robots from automation tools to intelligent systems marks a pivotal shift in manufacturing practices within the framework of Industry 4.0.Industrial robots,once limited to repetitive tasks on assembly lines,are now increasingly powered by advanced technologies such as Artificial Intelligence(AI),machine learning,and the Internet of Things(IoT),enabling them to perform complex,adaptive tasks in real-time.This paper explores the technological advancements that have transformed industrial robots,highlighting the integration of AI,smart sensors,and autonomous systems.Furthermore,it examines the implications of this paradigm shift for industries,human-robot collaboration,and the workforce.While intelligent robots promise greater efficiency,flexibility,and safety in manufacturing,challenges regarding implementation,economic impact,and ethical considerations remain significant.The paper concludes by looking at the future trends in robotics and their potential to reshape the global industrial landscape.展开更多
As there are numerous challenges to the global industrial and supply chains,the China International Supply Chain Expo(hereinafter referred to as the“CISCE”)hosted by the China Council for the Promotion of Internatio...As there are numerous challenges to the global industrial and supply chains,the China International Supply Chain Expo(hereinafter referred to as the“CISCE”)hosted by the China Council for the Promotion of International Trade(CCPIT),has been playing a unique role as a“stabilizer”for international cooperation,an“accelerator”for economic development,and a“booster”for future transformation.展开更多
It’s a pleasure to be here and speak about the industrial copilot and generative AI and the changing applications.As you all know,generative AI has arrived since a few years ago,we have generative AI not only in the ...It’s a pleasure to be here and speak about the industrial copilot and generative AI and the changing applications.As you all know,generative AI has arrived since a few years ago,we have generative AI not only in the consumer world,but also in the industrial world.Siemens is very active in the industrial space.We need to make AI real,because at the end in industry manufacturing,you are producing parts in the real world.So we need to make sure that AI and its applications can interact and comply with the real world.展开更多
This study explores the dynamics of industrial value chains from the perspective of directed graph neural networks(DGNNs).This study focuses on the effects of environmental,social,and governance(ESG)factors on industr...This study explores the dynamics of industrial value chains from the perspective of directed graph neural networks(DGNNs).This study focuses on the effects of environmental,social,and governance(ESG)factors on industrial value extension.The industrial value chain,which encompasses a comprehensive network ranging from raw material procurement to final product distribution,is characterized by intricate interconnections between internal and external stakeholders.Traditional quantitative methods,such as input–output(I–O)analysis,often fail to capture the complexity of these relationships.We model the shock propagation across the industrial chain by employing DGNNs,defining two types of hidden representations:demanding(incoming)and supplying(outgoing)embeddings.This dual representation enables a nuanced understanding of how ESG shocks influence the extension of industrial value from downstream and upstream industrial sectors.Our findings highlight potential areas for optimization and value-added opportunities,offering insights that can support more informed decision-making by corporations and policymakers as they navigate the evolving industrial landscape.展开更多
On November 28th,the launch conference and industry exchange seminar on the"CSC9000T Social Responsibility Management System for Textile and Apparel Enterprises(2025 Edition)"was grandly held in Beijing.Du Y...On November 28th,the launch conference and industry exchange seminar on the"CSC9000T Social Responsibility Management System for Textile and Apparel Enterprises(2025 Edition)"was grandly held in Beijing.Du Yuzhou,former President of the China National Textile and Apparel Council,and Chen Shujin,former Vice President,as well as Sun Ruizhe,Secretary of the Party Committee and President of the China National Textile and Apparel Council,and Vice President Yan Yan,witnessed the release of"CSC900OT 2025".展开更多
In this paper,the research status of industrial ecology abroad is briefly introduced,and the development status of industrial ecology in China is summarized and evaluated,including research content,methods,application...In this paper,the research status of industrial ecology abroad is briefly introduced,and the development status of industrial ecology in China is summarized and evaluated,including research content,methods,applications,etc.At the same time,combined with the current needs of China s economic-social development,it looks forward to the future development direction and application prospects of industrial ecology.In the coming period,research on green transformation technologies for industrial structure and production methods,carbon peak routes and carbon reduction implementation paths for industrial systems,key technologies for adapting to climate change and achieving carbon peak and carbon neutrality in priority areas,cross regional collaborative technologies for industrial chains,regional energy resource optimization and allocation technologies,efficient industrial agglomeration and collaboration technologies,multimedia composite pollution collaborative governance technologies,collaborative governance technologies for pollution and carbon reduction,multimedia comprehensive governance of multiple pollutants,and empirical theoretical systems of industrial ecology with Chinese characteristics will be the direction of industrial ecology research in China.展开更多
Industrial robot application(IRA)provides an opportunity for the low-carbon development of trade.This study focuses on the green revolution of manufacturing export trade,analyzes the mechanism by which IRA affects CO_...Industrial robot application(IRA)provides an opportunity for the low-carbon development of trade.This study focuses on the green revolution of manufacturing export trade,analyzes the mechanism by which IRA affects CO_(2) emissions embodied in manufacturing exports(CIE),and conducts an empirical test based on panel data from 37 countries from 2000 to 2019.This study found that first,IRA can significantly reduce CIE,but there is a U-shaped nexus between the two,which shows a rebound effect.Second,the heterogeneity test demonstrates that in com-parison to both the low-tech and high-tech sectors,IRA in the medium-tech industry can significantly reduce CIE;compared with the low-IRA sectors,the high-IRA sectors exhibit a more obvious reduction.In addition,IRA has a stronger effect on high-carbon-intensity areas.Third,the mechanism test shows that IRA mainly affects CIE through low-carbon technology and productivity effects.Moreover,environmental regulations and the manufacturing in-telligence process positively moderate the nexus between IRA and CIE.Finally,these conclusions provide possible empirical evidence for the smart evolution of the manufacturing industry and the green development of trade.展开更多
Extraction unit operation is the first step in traditional Chinese medicine(TCM)product manufacturing,and it is crucial in determining the quality of the produced medicine.However,due to a lack of effective multimodal...Extraction unit operation is the first step in traditional Chinese medicine(TCM)product manufacturing,and it is crucial in determining the quality of the produced medicine.However,due to a lack of effective multimodal monitoring and adjustment strategies,achieving high quality and efficiency remains a challenge.In this work,we proposed an artificial intelligence(AI)-based robot platform for the multi-objective optimization of the extraction process.First,a perception intelligence method for multimodal process monitoring was established to track active ingredient transfer and production changes during the extraction process.Second,a digital twin model was developed to reconstruct the field information,which interacted with real-time monitoring data.Furthermore,the model performed real-time inference to predict future production process states by using the reconstructing information.Finally,according to the predicted process states,the autonomous decision-making robot implemented multi-objective optimization,ensuring efficient process adjustments for global optimization.Experimental and industrial results demonstrated that the platform could effectively infer component transfer dynamics,monitor temperature variations,and identify boiling states,ensuring product quality while reducing energy consumption.This pharmaceutical robot could promote the integration of AI and pharmaceutical engineering,thereby accelerating the iterative development and improvement of China’s pharmaceutical industry.展开更多
The development of robust,cost-effective and high-performance electrocatalysts is essential for industrial-scale green hydrogen production under high-current operating conditions(>500 mA/cm^(2))to ensure both high ...The development of robust,cost-effective and high-performance electrocatalysts is essential for industrial-scale green hydrogen production under high-current operating conditions(>500 mA/cm^(2))to ensure both high output and economic efficiency.Herein,a binder-free bimetallic vanadium-nickel-boride-phosphide(VNiBP)spherical electrocatalyst(SE)is synthesized via a simple hydrothermal method,followed by post-annealing.The VNiBP catalyst exhibits low overpotentials of 91 mV for the hydrogen evolution reaction(HER)and 270 mV for the oxygen evolution reaction(OER)at 100 mA/cm^(2) in 1 M KOH with stable operation over 150 h,surpassing most of the state-of-the-art electrocatalysts.The bifunctional VNiBP(-,+)exhibits a low turnover voltage of 1.57 V at 100 mA/cm^(2) and outperforms the Pt/C||RuO_(2) benchmark system up to 2000 mA/cm^(2) high-current density.The Pt/C||VNiBP hybrid configuration shows a low 2-E cell voltage of 2.55 V at 2000 mA/cm^(2) under industrially relevant conditions(6 M KOH,60℃).Notably,the VNiBP demonstrates exceptional long-term stability,maintaining continuous operation for over 6 days in both 1 M and 6 M KOH at 1000 mA/cm^(2).The outstanding overall water splitting(OWS)performance can be attributed to the synergistic combination of rapid intermediate formation,optimized adsorption/desorption kinetics,high electrochemical surface area and low charge transfer resistance offered by favorable composition and spherical morphology.展开更多
基金supported by the National Natural Science Foundation of China(No.22176200)the Industrial Innovation Entrepreneurial Team Project of Ordos 2021.
文摘Industrial waste salts are commonly used to make value-added snow-melting agents to ensure traffic safety in northern China during winter and spring after snowfall.However,heavy metals in industrial waste salts may pose certain environmental risks.Snow-melting agents and snow samples were collected and analyzed from highways,arterial roads,footbridges,and other locations in Beijing after the snowstorm in December 2023.It was found that the main component of snow-melting agents was sodium chloride with high concentrations of Cu,Mn,and Zn,which are not regulated in the current policies,despite the recent promotion of environmentally friendly snow-melting agents.The Pb,Zn and Cr contents of some snow samples exceeded the limitation value of surface water quality standards,potentially affecting the soil and water environment near roadsides,although the snow-melting agents comply with relevant standards,which indicates the policy gap in the management of recycled industrial salts.We reviewed and analyzed the relevant standards for snow-melting agents and industrial waste salts proposed nationally and internationally over the past 30 years.Through comparative analysis,we proposed relevant policy recommendations to the existing quality standards of snow-melting agents and the management regulations of industrial waste salts,and the formulation of corresponding usage strategies,aimed at reducing the potential environmental release of heavy metals from the use of snow-melting agents,thereby promoting more sustainable green urban development and environmentally sound waste management.
基金National Natural Science Foundation of China under Grant Nos.52408327 and 52278306Key Research and Development Program of Hunan Province,China under Grant No.2022SK2096+3 种基金Science and Technology Progress and Innovation Project of the Department of Transportation of Hunan Province,China under Grant No.201912Natural Science Foundation of Hunan Province,China under Grant No.2024JJ6198Scientific Research Project of the Education Department of Hunan Province,China under Grant No.25A0645Emergency Management Science and Technology Project of the Emergency Management Department of Hunan Province,China under Grant No.yjtkjxm_202406。
文摘Although the effectiveness of a tuned viscous mass damper(TVMD)as an inerter-based device for vibration control in civil structures has been thoroughly investigated,there is a lack of systematic research regarding the application of TVMDs for seismic response control of industrial buildings coupled with mechanical equipment.Therefore,this study proposes ungrounded and grounded TVMDs to effectively utilize the mass of the mechanical equipment and fully exploit the capabilities of the inerter element.An optimal design methodology is developed by pursuing the maximum effective damping ratio and seeking the most rational TVMD control scheme.Validation of TVMD control performance is conducted through time-history analysis based on 20 real seismic ground motions recommended by ATC-40,and by providing a barrel mixer industrial building as a real-life numerical example.The results show that both an ungrounded and grounded TVMD can effectively mitigate the seismic response of the primary structure.Compared to the traditional tuned mass damper(TMD),TVMDs can obtain improved control performance for a given equipment mass ratio.Moreover,an ungrounded TVMD and a TMD show similar working mechanisms that tend to release the displacement of equipment to keep their optimal state,whereas equipment displacement for a grounded TVMD should be strictly limited to provide sufficient anti-force.
基金supported by National Natural Science Foundation of China(Grant No.52270106 and 22266021)Yunnan Major Scientific and Technological Projects(grant No.202202AG050005)Yunnan Fundamental Research Projects(grant No.202201AT070116).
文摘The application of industrial solid wastes as environmentally functional materials for air pollutants control has gained much attention in recent years due to its potential to reduce air pollution in a cost-effective manner.In this review,we investigate the development of industrialwaste-based functional materials for various gas pollutant removal and consider the relevant reaction mechanism according to different types of industrial solid waste.We see a recent effort towards achieving high-performance environmental functional materials via chemical or physical modification,in which the active components,pore size,and phase structure can be altered.The review will discuss the potential of using industrial solid wastes,these modified materials,or synthesized materials from raw waste precursors for the removal of air pollutants,including SO_(2),NO_(x),Hg^(0),H_(2)S,VOCs,and CO_(2).The challenges still need to be addressed to realize this potential and the prospects for future research fully.The suggestions for future directions include determining the optimal composition of these materials,calculating the real reaction rate and turnover frequency,developing effective treatment methods,and establishing chemical component databases of raw industrial solid waste for catalysts/adsorbent preparation.
基金Supported by Beijing Municipal Natural Science Foundation of China(Grant No.24JL002)China Postdoctoral Science Foundation(Grant No.2024M754054)+2 种基金National Natural Science Foundation of China(Grant No.52120105008)Beijing Municipal Outstanding Young Scientis Program of Chinathe New Cornerstone Science Foundation through the XPLORER PRIZE。
文摘With the continuous advancement and maturation of technologies such as big data,artificial intelligence,virtual reality,robotics,human-machine collaboration,and augmented reality,many enterprises are finding new avenues for digital transformation and intelligent upgrading.Industry 5.0,a further extension and development of Industry 4.0,has become an important development trend in industry with more emphasis on human-centered sustainability and flexibility.Accordingly,both the industrial metaverse and digital twins have attracted much attention in this new era.However,the relationship between them is not clear enough.In this paper,a comparison between digital twins and the metaverse in industry is made firstly.Then,we propose the concept and framework of Digital Twin Systems Engineering(DTSE)to demonstrate how digital twins support the industrial metaverse in the era of Industry 5.0 by integrating systems engineering principles.Furthermore,we discuss the key technologies and challenges of DTSE,in particular how artificial intelligence enhances the application of DTSE.Finally,a specific application scenario in the aviation field is presented to illustrate the application prospects of DTSE.
基金Supported by the Natural Science Foundation of the Higher Education Institutions of Jiangsu Province(22KJB520012)the Research Project on Higher Education Reform in Jiangsu Province(2023JSJG781)the College Student Innovation and Entrepreneurship Training Program Project(202313571008Z)。
文摘Fault detection in industrial robot drive systems is a critical aspect of ensuring operational reliability and efficiency.To address the challenge of balancing accuracy and robustness in existing fault detection methods,this paper proposes an enhanced fault detection method based on the unscented Kalman filter(UKF).A comprehensive mathematical model of the brushless DC motor drive system is developed to provide a theoretical foundation for the design of subsequent fault detection methods.The conventional UKF estimation process is detailed,and its limitations in balancing estimation accuracy and robustness are addressed by introducing a dynamic,time-varying boundary layer.To further enhance detection performance,the method incorporates residual analysis using improved z-score and signal-tonoise ratio(SNR)metrics.Numerical simulations under both fault-free and faulty conditions demonstrate that the proposed approach achieves lower root mean square error(RMSE)in fault-free scenarios and provides reliable fault detection.These results highlight the potential of the proposed method to enhance the reliability and robustness of fault detection in industrial robot drive systems.
基金Philosophy and Social Science Planning Projects in Yunnan Province,No.QN202428China Postdoctoral Science Foundation,No.2024M752918。
文摘Foreign-funded overseas industrial parks(OIPs)are crucial for attracting foreign investment and promoting globalization in developing countries.However,large-scale land acquisition for these parks generates conflicts between developers and local stakeholders,increasing development costs.A qualitative multicase study was conducted in this study to analyze the land transaction trajectories of China's OIPs.Four OIPs were selected to reveal the underlying mechanisms from the perspectives of institutional arrangements,governance mechanisms,and enterprise heterogeneity.The findings indicate that in host countries with insufficient institutional development,local governments are more inclined to directly engage in OIP land acquisition.High-level intergovernmental mechanisms facilitate land acquisition processes,although their efficacy depends largely on administrative power allocation across parks in host countries.The results also indicate that enterprise characteristics significantly influence land acquisition,where microscale private enterprises lacking political connections often employ low-cost,bottom-up strategies by leveraging international experience.In summary,policy-makers in developing countries should prioritize enhancing OIP governance to mitigate transaction costs,promote diversified land supply,and optimize land allocation.By depicting China's OIP land acquisition processes,this study deepens the academic understanding of OIP governance in developing countries and related international land transactions,offering practical OIP management insights for governments in both host and parent countries.
基金The APC was funded by Research Management Center, Multimedia University, Malaysia.
文摘Electrical energy can be harvested from the rotational kinetic energy of moving bodies,consisting of both mechanical and kinetic energy as a potential power source through electromagnetic induction,similar to wind energy applications.In industries,rotational bodies are commonly present in operations,yet this kinetic energy remains untapped.This research explores the energy generation characteristics of two rotational body types,disk-shaped and cylinder-shaped under specific experimental setups.The hardware setup included a direct current(DC)motor driver,power supply,DC generator,mechanical support,and load resistance,while the software setup involved automation testing tools and data logging.Electromagnetic induction was used to harvest energy,and experiments were conducted at room temperature(25℃)with controlled variables like speed and friction.Results showed the disk-shaped body exhibited higher energy efficiency than the cylinder-shaped body,largely due to lower mechanical losses.The disk required only two bearings,while the cylinder required four,resulting in lower bearing losses for the disk.Additionally,the disk experienced only air friction,whereas the cylinder encountered friction from a soft,uneven rubber material,increasing surface contact losses.Under a 40 W resistive load,the disk demonstrated a 17.1%energy loss due to mechanical friction,achieving up to 15.55 J of recycled energy.Conversely,the cylinder body experienced a 48.05%energy loss,delivering only 51.95%of energy to the load.These insights suggest significant potential for designing efficient energy recycling systems in industrial settings,particularly in manufacturing and processing industries where rotational machinery is prevalent.Despite its lower energy density,this system could be beneficially integrated with energy storage solutions,enhancing sustainability in industrial practices.
基金Supported by General Project of Philosophy and Social Sciences Research in Universities of Jiangsu Province,2024(2024SJYB1650).
文摘Based on the requirements of local high-quality economic development and addressing the critical task of transformation and upgrading in the tea industry,this paper systematically discusses the necessity and feasibility of constructing an optimal industrialization operation system driven by the dual wheels of"branding+standardization".The article first clarifies the connotation of high-quality development and the synergistic mechanism between branding and standardization.It then analyzes the current situation and bottlenecks of China's tea industry development.Subsequently,it proposes a dual-wheel drive strategy where branding enhances value and standardization guarantees quality,and designs a systematic implementation plan involving industrial chain synergy optimization and integrated support from government,industry,academia,research,and application.On this basis,strategies and suggestions are proposed,encompassing the starting point,standard focal points,key effort areas,innovation points,and target achievement points.The aim is to promote the tea industry to break through homogeneous competition,achieve value ascent,and provide important industrial support for regional high-quality development through the construction of the aforementioned system.
基金supported by the Research Program of the Liaoning Liaohe Laboratory(LLL23ZZ-05-012)China Academy of Engineering Institute of Land Cooperation Consulting Project(2023-DFZD-60-02)+3 种基金the Key Research and Development Program of Liaoning Province(2023JH26/10200011)the National Natural Science Foundation of China(61991404)the National Key Research and Development Program of China(2024YFB3309700)the Science and Technology Major Project 2024 of Liaoning Province(2024JH1/11700048).
文摘Based on an analysis of the role of industrial control and optimization technologies in the Industrial Revolution,as well as the current situation and existing problems of operational decision-making(ODM)for industrial process,this paper introduces the concept of intelligent ODM in industrial process,shapes its future directions,and highlights key technical challenges.By the tight conjoining of and coordination between industrial artificial intelligence(AI)with industrial control and optimization technologies,as well as the Industrial Internet with industrial computer management and control systems,an intelligent operational optimization decision-making methodology is proposed for complex industrial process.The intelligent ODM methodology and its successful application demonstrate that the tight conjoining of and coordination between next-generation information technologies with industrial control and optimization technologies will promote the development of industrial intelligent ODM.Finally,main research directions and ideas are outlined for realizing intelligent ODM in industrial process.
文摘This paper provides a comparative sociological analysis of the application models for industrial robots in the automotive and electronics industries.The integration of robots in these two key sectors has been a significant milestone in the evolution of modern manufacturing,contributing to major shifts in production processes,labor markets,and organizational structures.Through a comprehensive review of literature and case studies,the paper identifies and contrasts the driving factors for robot adoption,the impact of automation on the workforce,and the sociocultural factors influencing these transitions.The automotive industry,characterized by high-volume production and cost-efficiency,and the electronics industry,known for precision and fast-paced production,present unique challenges and opportunities in robot integration.By examining these differences,the paper aims to offer insights into the broader social and economic implications of industrial robot deployment and its effect on industry dynamics and labor relations.The findings highlight not only the technological benefits but also the social challenges associated with automation in these industries.
文摘Industrial intelligence and secure interconnection serve as the foundational platform and critical information infrastructure for new industrialization,carrying significant strategic importance.They not only function as the core engine driving the transformation and upgrading of the manufacturing sector and ensuring stable socioeconomic operation but are also vital to enhancing national technological competitiveness and safeguarding industrial security.
文摘The rapid evolution of industrial robots from automation tools to intelligent systems marks a pivotal shift in manufacturing practices within the framework of Industry 4.0.Industrial robots,once limited to repetitive tasks on assembly lines,are now increasingly powered by advanced technologies such as Artificial Intelligence(AI),machine learning,and the Internet of Things(IoT),enabling them to perform complex,adaptive tasks in real-time.This paper explores the technological advancements that have transformed industrial robots,highlighting the integration of AI,smart sensors,and autonomous systems.Furthermore,it examines the implications of this paradigm shift for industries,human-robot collaboration,and the workforce.While intelligent robots promise greater efficiency,flexibility,and safety in manufacturing,challenges regarding implementation,economic impact,and ethical considerations remain significant.The paper concludes by looking at the future trends in robotics and their potential to reshape the global industrial landscape.
文摘As there are numerous challenges to the global industrial and supply chains,the China International Supply Chain Expo(hereinafter referred to as the“CISCE”)hosted by the China Council for the Promotion of International Trade(CCPIT),has been playing a unique role as a“stabilizer”for international cooperation,an“accelerator”for economic development,and a“booster”for future transformation.
文摘It’s a pleasure to be here and speak about the industrial copilot and generative AI and the changing applications.As you all know,generative AI has arrived since a few years ago,we have generative AI not only in the consumer world,but also in the industrial world.Siemens is very active in the industrial space.We need to make AI real,because at the end in industry manufacturing,you are producing parts in the real world.So we need to make sure that AI and its applications can interact and comply with the real world.
基金supported by a Grant from the Major Program of Sichuan Provincial Social Science Foundation(Grant No.SCJJ24ZD20).
文摘This study explores the dynamics of industrial value chains from the perspective of directed graph neural networks(DGNNs).This study focuses on the effects of environmental,social,and governance(ESG)factors on industrial value extension.The industrial value chain,which encompasses a comprehensive network ranging from raw material procurement to final product distribution,is characterized by intricate interconnections between internal and external stakeholders.Traditional quantitative methods,such as input–output(I–O)analysis,often fail to capture the complexity of these relationships.We model the shock propagation across the industrial chain by employing DGNNs,defining two types of hidden representations:demanding(incoming)and supplying(outgoing)embeddings.This dual representation enables a nuanced understanding of how ESG shocks influence the extension of industrial value from downstream and upstream industrial sectors.Our findings highlight potential areas for optimization and value-added opportunities,offering insights that can support more informed decision-making by corporations and policymakers as they navigate the evolving industrial landscape.
文摘On November 28th,the launch conference and industry exchange seminar on the"CSC9000T Social Responsibility Management System for Textile and Apparel Enterprises(2025 Edition)"was grandly held in Beijing.Du Yuzhou,former President of the China National Textile and Apparel Council,and Chen Shujin,former Vice President,as well as Sun Ruizhe,Secretary of the Party Committee and President of the China National Textile and Apparel Council,and Vice President Yan Yan,witnessed the release of"CSC900OT 2025".
基金Supported by the National Natural Science Foundation of China(42477521).
文摘In this paper,the research status of industrial ecology abroad is briefly introduced,and the development status of industrial ecology in China is summarized and evaluated,including research content,methods,applications,etc.At the same time,combined with the current needs of China s economic-social development,it looks forward to the future development direction and application prospects of industrial ecology.In the coming period,research on green transformation technologies for industrial structure and production methods,carbon peak routes and carbon reduction implementation paths for industrial systems,key technologies for adapting to climate change and achieving carbon peak and carbon neutrality in priority areas,cross regional collaborative technologies for industrial chains,regional energy resource optimization and allocation technologies,efficient industrial agglomeration and collaboration technologies,multimedia composite pollution collaborative governance technologies,collaborative governance technologies for pollution and carbon reduction,multimedia comprehensive governance of multiple pollutants,and empirical theoretical systems of industrial ecology with Chinese characteristics will be the direction of industrial ecology research in China.
基金the National Social Science Foundation of China(Grant No.23FGLB024)Special Project on“Promoting High-Quality Development through the Integration of the Yangtze River Delta”of Shaoxing University(Grant No.2024CSJYB01)to provide fund for the study。
文摘Industrial robot application(IRA)provides an opportunity for the low-carbon development of trade.This study focuses on the green revolution of manufacturing export trade,analyzes the mechanism by which IRA affects CO_(2) emissions embodied in manufacturing exports(CIE),and conducts an empirical test based on panel data from 37 countries from 2000 to 2019.This study found that first,IRA can significantly reduce CIE,but there is a U-shaped nexus between the two,which shows a rebound effect.Second,the heterogeneity test demonstrates that in com-parison to both the low-tech and high-tech sectors,IRA in the medium-tech industry can significantly reduce CIE;compared with the low-IRA sectors,the high-IRA sectors exhibit a more obvious reduction.In addition,IRA has a stronger effect on high-carbon-intensity areas.Third,the mechanism test shows that IRA mainly affects CIE through low-carbon technology and productivity effects.Moreover,environmental regulations and the manufacturing in-telligence process positively moderate the nexus between IRA and CIE.Finally,these conclusions provide possible empirical evidence for the smart evolution of the manufacturing industry and the green development of trade.
基金funded by the National Key Research and Development Program of China(2024YFC3506900)the Special Project for Technological Innovation in New Productive Forces of Modern Chinese Medicines(24ZXZKSY00010 and 24ZXZKSY00040)the Innovation Team and Talents Cultivation Program of National Administration of Traditional Chinese Medicine(ZYYCXTD-D-202002)。
文摘Extraction unit operation is the first step in traditional Chinese medicine(TCM)product manufacturing,and it is crucial in determining the quality of the produced medicine.However,due to a lack of effective multimodal monitoring and adjustment strategies,achieving high quality and efficiency remains a challenge.In this work,we proposed an artificial intelligence(AI)-based robot platform for the multi-objective optimization of the extraction process.First,a perception intelligence method for multimodal process monitoring was established to track active ingredient transfer and production changes during the extraction process.Second,a digital twin model was developed to reconstruct the field information,which interacted with real-time monitoring data.Furthermore,the model performed real-time inference to predict future production process states by using the reconstructing information.Finally,according to the predicted process states,the autonomous decision-making robot implemented multi-objective optimization,ensuring efficient process adjustments for global optimization.Experimental and industrial results demonstrated that the platform could effectively infer component transfer dynamics,monitor temperature variations,and identify boiling states,ensuring product quality while reducing energy consumption.This pharmaceutical robot could promote the integration of AI and pharmaceutical engineering,thereby accelerating the iterative development and improvement of China’s pharmaceutical industry.
基金supported by the Basic Science Research Program through the National Research Foundation of Korea(NRF)funded by the Ministry of Education(No.RS-2018-NR031063)in part by the research grant of Kwangwoon University in 2025.
文摘The development of robust,cost-effective and high-performance electrocatalysts is essential for industrial-scale green hydrogen production under high-current operating conditions(>500 mA/cm^(2))to ensure both high output and economic efficiency.Herein,a binder-free bimetallic vanadium-nickel-boride-phosphide(VNiBP)spherical electrocatalyst(SE)is synthesized via a simple hydrothermal method,followed by post-annealing.The VNiBP catalyst exhibits low overpotentials of 91 mV for the hydrogen evolution reaction(HER)and 270 mV for the oxygen evolution reaction(OER)at 100 mA/cm^(2) in 1 M KOH with stable operation over 150 h,surpassing most of the state-of-the-art electrocatalysts.The bifunctional VNiBP(-,+)exhibits a low turnover voltage of 1.57 V at 100 mA/cm^(2) and outperforms the Pt/C||RuO_(2) benchmark system up to 2000 mA/cm^(2) high-current density.The Pt/C||VNiBP hybrid configuration shows a low 2-E cell voltage of 2.55 V at 2000 mA/cm^(2) under industrially relevant conditions(6 M KOH,60℃).Notably,the VNiBP demonstrates exceptional long-term stability,maintaining continuous operation for over 6 days in both 1 M and 6 M KOH at 1000 mA/cm^(2).The outstanding overall water splitting(OWS)performance can be attributed to the synergistic combination of rapid intermediate formation,optimized adsorption/desorption kinetics,high electrochemical surface area and low charge transfer resistance offered by favorable composition and spherical morphology.
