After announcing the goal of building a moderately prosperous society in all respects by 2020, the Chinese leadership also called for a new path of industrialization, putting a premium on quality and new development c...After announcing the goal of building a moderately prosperous society in all respects by 2020, the Chinese leadership also called for a new path of industrialization, putting a premium on quality and new development concepts. Unlike traditional industrialization in the broad or narrow sense, new-type industrialization features synergy between primary, secondary, and tertiary industries, integration between traditional economy and the new economy, environmental protection, technology progress, and innovation. It represents an inclusive approach to industrial development. At the fundamental level, the success of China’s new-type industrialization can be attributed to China’s inclusive learning and innovations.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
New-type urbanization(NTU)is proposed by China to solve unsustainable issues and improve green development efficiency(GDE)during the process of rapid urbanization.However,the impact mechanism of NTU on GDE is unclear....New-type urbanization(NTU)is proposed by China to solve unsustainable issues and improve green development efficiency(GDE)during the process of rapid urbanization.However,the impact mechanism of NTU on GDE is unclear.Using panel data of 282 prefecture-level cities in China from 2010 to 2019,we measured NTU and GDE to describe their spatiotemporal pattern and relationship evolution.The fixed effects panel model and mediating effect panel model were further utilized to analyze the benchmark impact,mediating mechanism and spatiotem-poral heterogeneity of NTU on GDE.The results showed that NTU improved,with the highest levels observed in the eastern region,while GDE increased with fluctuations,performing better in both the eastern and western regions.With the proportion of double-high cities increasing from 13.83%to 43.62%,the NTU-GDE relationship was upgraded.Overall,every 1%improvement in NTU increased GDE by 0.3111%,and the enterprise effect,resident effect and government effect played a positive mediating role from high to low.During the later stage of NTU,its impact on GDE strengthened significantly,and the mediating role of governments was optimized.The eastern region was the only region with three positive mediating roles of governments,enterprises and residents.These findings will promote GDE through NTU in China and serve as a valuable reference for sustainable global urbanization.展开更多
Regard to the real-time dynamic digital twin modelling problem of a new-type distribution network that includes distributed resources such as distributed photovoltaic,energy storage,charging pile,and electric vehicle,...Regard to the real-time dynamic digital twin modelling problem of a new-type distribution network that includes distributed resources such as distributed photovoltaic,energy storage,charging pile,and electric vehicle,a new-type distribution network digital twin topology modeling method based on Common Information Model(CIM)specifications and spectral clustering is proposed.Firstly,according to the specifications of the CIM standard,the digital twin topology models of distributed resources are extended and established.Secondly,based on the digital twin topology models of distributed resources,a digital twin aggregation modelling method for new-type distribution network is proposed based on spectral clustering.Furthermore,an online linked update strategy for the digital twin model of new-type distribution network that integrates real-time topology states is proposed.Finally,a case study is conducted on a distribution network in a certain demonstration area in China,and the results verify the practicability and effectiveness of the method proposed in this paper.This lays the foundation for the application of electrical network twin analysis,such as power flow calculation,optimal power flow,economic dispatch,and safety check,in a new-type distribution network that includes diversified distributed resources.展开更多
More than 30%of the earth's land surface is covered by the forest.Increase in population undergoes activities like construction,grazing,agriculture activities,and industrialization causing permanent clearing of la...More than 30%of the earth's land surface is covered by the forest.Increase in population undergoes activities like construction,grazing,agriculture activities,and industrialization causing permanent clearing of land to make room for something besides the forest,which is called deforestation.Considering this scenario,the mathematical model is framed for studying the dynamics with using four compartments such as deforestation of the dense forest,deforestation of the urban forest,population growth and wood industrialization.Using the dynamical phenomenon,the boundedness of the system is proposed.The proposed model has five equilibria.Behaviour of the system around all feasible equilibria is scrutinized through local stability theory of diferential equations.The 3d phase portrait gives the chaotic behavior of each compartment.Basic reproduction number value assists the bifurcation and the sensitivity analysis.Bifurcation analysis gives the ideal value,then the comparison of threshold and ideal value suggests the permissible situation of the compartment.For these findings,analytics results are verified through numerically validated data.展开更多
Global sustainable development cannot be achieved by neglecting rural areas.These regions represent vast territorial spaces beyond urban built-up areas,possessing comparative advantages through their distinctive ecolo...Global sustainable development cannot be achieved by neglecting rural areas.These regions represent vast territorial spaces beyond urban built-up areas,possessing comparative advantages through their distinctive ecological resources.The transformation of ecological resources into economic value,commonly referred to as ecological industrialization,enhances rural economic vitality and developmental potential.Comprehensive rural revitalization strengthens regional functionality and development resilience,thereby promoting sustainable rural development.Based on human-earth system science,we theorize ecological industrialization as the PGR model,manifesting the transformation path from“poor mountain”to“green mountain”and then to“rich mountain”.It is noteworthy that in regions endowed with beautiful ecological landscapes,the PGR model prioritizes the transformation of“green mountain”to“rich mountain”.The essence of rural revitalization manifests through areal transformations driven by tripartite forces:the rural internal force,urban peripheral force,and urban-rural interaction force.There is a mutually reinforcing relationship between ecological industrialization and rural revitalization,and the implementation of the two can realize the coordinated development of rural functions.In this process,rural areas have realized the transformation from degraded land system to human-earth coupling system.Furthermore,through the examination of Fuping,Liuba,and Sanming as exemplary case studies,we have distilled three distinct modes of ecological industrialization:the circular industry mode,the ecological tourism mode,and the carbon sink trading mode.It is recommended that rural areas prioritize the coordinated implementation of ecological industrialization and rural revitalization in accordance with regional characteristics,so as to better foster rural sustainable development.展开更多
The 6D pose estimation of objects is of great significance for the intelligent assembly and sorting of industrial parts.In the industrial robot production scenarios,the 6D pose estimation of industrial parts mainly fa...The 6D pose estimation of objects is of great significance for the intelligent assembly and sorting of industrial parts.In the industrial robot production scenarios,the 6D pose estimation of industrial parts mainly faces two challenges:one is the loss of information and interference caused by occlusion and stacking in the sorting scenario,the other is the difficulty of feature extraction due to the weak texture of industrial parts.To address the above problems,this paper proposes an attention-based pixel-level voting network for 6D pose estimation of weakly textured industrial parts,namely CB-PVNet.On the one hand,the voting scheme can predict the keypoints of affected pixels,which improves the accuracy of keypoint localization even in scenarios such as weak texture and partial occlusion.On the other hand,the attention mechanism can extract interesting features of the object while suppressing useless features of surroundings.Extensive comparative experiments were conducted on both public datasets(including LINEMOD,Occlusion LINEMOD and T-LESS datasets)and self-made datasets.The experimental results indicate that the proposed network CB-PVNet can achieve accuracy of ADD(-s)comparable to state-of-the-art using only RGB images while ensuring real-time performance.Additionally,we also conducted robot grasping experiments in the real world.The balance between accuracy and computational efficiency makes the method well-suited for applications in industrial automation.展开更多
This paper presents the performance and characteristics of new-type sulfur tolerant shift catalyst QDB-04 and its industrial side-line test as well as the first-time industrial application in Lunan Chemical Fertilizer...This paper presents the performance and characteristics of new-type sulfur tolerant shift catalyst QDB-04 and its industrial side-line test as well as the first-time industrial application in Lunan Chemical Fertilizer Plant of Shandong in China. The results show that the catalyst has high strength and strength stability, good low temperature activity and stability as well as low potassium bleeding ratio which well meet for the requirements of the methanol plant on catalyst performance in Lunan Chemical Fertilizer Plant.展开更多
In recent years,against the backdrop of profound geopolitical changes,the European Union(EU)has been deeply mired in an industrial predicament,showing signs of shrinking production,capital outflows,relocation of produ...In recent years,against the backdrop of profound geopolitical changes,the European Union(EU)has been deeply mired in an industrial predicament,showing signs of shrinking production,capital outflows,relocation of production capacity,and lagging development in future industries.The primary causes of this situation include the energy supply crisis stemming from the decoupling from Russian energy,the impact of America's unilateral trade policy,structural flaws within the EU itself,and the intensification of global industrial competition.To overcome these challenges,the EU has introduced a series of new industrial policies,aiming at revitalizing its industries by strengthening support for local manufacturing,enhancing protective mechanisms for its domestic production,building diversified supply chains,and prioritizing the development of military industry.However,due to multiple obstacles such as heavy external dependence,significant funding gaps,internal divisions,and strategic short-sightedness,the EU still faces a long and arduous journey in its industrial revival.展开更多
Recently,the Standardization Administration of China issued Announcement No.1 of 2026,officially approving the establishment of the Subcommittee 1 on Nonwoven Material of National Technical Committee 606 on Technical ...Recently,the Standardization Administration of China issued Announcement No.1 of 2026,officially approving the establishment of the Subcommittee 1 on Nonwoven Material of National Technical Committee 606 on Technical Textiles of Standardization Administration of China(SAC/TC606/SC1)and the Subcommittee 2 on Filtration and Separation Textiles of National Technical Committee 606 on Technical Textiles of Standardization Administration of China(SAC/TC606/SC2).The formation of these two subcommittees marks a crucial step in the standardization development of China's industrial textiles sector in specialized fields.展开更多
The increasing interconnection of modern industrial control systems(ICSs)with the Internet has enhanced operational efficiency,but alsomade these systemsmore vulnerable to cyberattacks.This heightened exposure has dri...The increasing interconnection of modern industrial control systems(ICSs)with the Internet has enhanced operational efficiency,but alsomade these systemsmore vulnerable to cyberattacks.This heightened exposure has driven a growing need for robust ICS security measures.Among the key defences,intrusion detection technology is critical in identifying threats to ICS networks.This paper provides an overview of the distinctive characteristics of ICS network security,highlighting standard attack methods.It then examines various intrusion detection methods,including those based on misuse detection,anomaly detection,machine learning,and specialised requirements.This paper concludes by exploring future directions for developing intrusion detection systems to advance research and ensure the continued security and reliability of ICS operations.展开更多
Long associated with industrial smoke and heavy pollution,the chemical industry is undergoing a rapid transition to cleaner production.In the Jintang Economic Development Zone in Chengdu,Sichuan Province,B&M Tech...Long associated with industrial smoke and heavy pollution,the chemical industry is undergoing a rapid transition to cleaner production.In the Jintang Economic Development Zone in Chengdu,Sichuan Province,B&M Tech’s lithium-ion battery materials factory exemplifies this change.展开更多
As attack techniques evolve and data volumes increase,the integration of artificial intelligence-based security solutions into industrial control systems has become increasingly essential.Artificial intelligence holds...As attack techniques evolve and data volumes increase,the integration of artificial intelligence-based security solutions into industrial control systems has become increasingly essential.Artificial intelligence holds significant potential to improve the operational efficiency and cybersecurity of these systems.However,its dependence on cyber-based infrastructures expands the attack surface and introduces the risk that adversarial manipulations of artificial intelligence models may cause physical harm.To address these concerns,this study presents a comprehensive review of artificial intelligence-driven threat detection methods and adversarial attacks targeting artificial intelligence within industrial control environments,examining both their benefits and associated risks.A systematic literature review was conducted across major scientific databases,including IEEE,Elsevier,Springer Nature,ACM,MDPI,and Wiley,covering peer-reviewed journal and conference papers published between 2017 and 2026.Studies were selected based on predefined inclusion and exclusion criteria following a structured screening process.Based on an analysis of 101 selected studies,this survey categorizes artificial intelligence-based threat detection approaches across the physical,control,and application layers of industrial control systems and examines poisoning,evasion,and extraction attacks targeting industrial artificial intelligence.The findings identify key research trends,highlight unresolved security challenges,and discuss implications for the secure deployment of artificial intelligence-enabled cybersecurity solutions in industrial control systems.展开更多
As the annual production of industrial hemp in China increases and its global market share grows,its multipurpose development has become an important trend for future development.The cellulose mass fraction of industr...As the annual production of industrial hemp in China increases and its global market share grows,its multipurpose development has become an important trend for future development.The cellulose mass fraction of industrial hemp was found to be as high as 59.36%by chemical composition determination,providing a possibility for the production of nanocellulose.To broaden the application field of industrial hemp,the 2,2,6,6-tetramethylpiperidine-1-oxyl radical(TEMPO)-oxidized nanocellulose(TCNF),sulfuric acid hydrolyzed nanocellulose(SCNC),and lignincontaining hydrolyzed nanocellulose(LCNC)were prepared by multi-step chemical purification pretreatment combined with TEMPO oxidation and sulfuric acid hydrolysis,respectively.They were characterized by Fourier transform infrared(FTIR)spectroscopy,X-ray diffraction(XRD),and thermogravimetric analysis(TGA).The effects of the sodium hypochlorite volume,sodium hydroxide mass fraction in the pretreatment process,and acid hydrolysis reaction time on the Zeta potential and particle size of the prepared nanocellulose were investigated.The absolute value of the Zeta potential of SCNC could reach 29.59 mV,and the particle size was small.The suspension could still maintain good dispersion stability after standing for 24.0 h under the same dispersion conditions.The basic functional group composition and crystal morphology of TCNF,SCNC,and LCNC did not change compared with the raw hemp,and the highest crystallinity increased from 24.6%to 68.1%.Due to the introduction of ester and carboxyl groups,the initial degradation temperature and the temperature at the maximum mass loss rate of the nanocellulose were lower than those of the raw hemp,but the nanocellulose still maintained the thermal stability for practical applications.展开更多
Industrial Cyber-Physical Systems(ICPSs)play a vital role in modern industries by providing an intellectual foundation for automated operations.With the increasing integration of information-driven processes,ensuring ...Industrial Cyber-Physical Systems(ICPSs)play a vital role in modern industries by providing an intellectual foundation for automated operations.With the increasing integration of information-driven processes,ensuring the security of Industrial Control Production Systems(ICPSs)has become a critical challenge.These systems are highly vulnerable to attacks such as denial-of-service(DoS),eclipse,and Sybil attacks,which can significantly disrupt industrial operations.This work proposes an effective protection strategy using an Artificial Intelligence(AI)-enabled Smart Contract(SC)framework combined with the Heterogeneous Barzilai-Borwein Support Vector(HBBSV)method for industrial-based CPS environments.The approach reduces run time and minimizes the probability of attacks.Initially,secured ICPSs are achieved through a comprehensive exchange of views on production plant strategies for condition monitoring using SC and blockchain(BC)integrated within a BC network.The SC executes the HBBSV strategy to verify the security consensus.The Barzilai-Borwein Support Vectorized algorithm computes abnormal attack occurrence probabilities to ensure that components operate within acceptable production line conditions.When a component remains within these conditions,no security breach occurs.Conversely,if a component does not satisfy the condition boundaries,a security lapse is detected,and those components are isolated.The HBBSV method thus strengthens protection against DoS,eclipse,and Sybil attacks.Experimental results demonstrate that the proposed HBBSV approach significantly improves security by enhancing authentication accuracy while reducing run time and authentication time compared to existing techniques.展开更多
THE power industrial control system(power ICS)is thecore infrastructure that ensures the safe,stable,and efficient operation of power systems.Its architecture typi-cally adopts a hierarchical and partitioned end-edge-...THE power industrial control system(power ICS)is thecore infrastructure that ensures the safe,stable,and efficient operation of power systems.Its architecture typi-cally adopts a hierarchical and partitioned end-edge-cloud collaborative design.However,the large-scale integration ofdistributed renewable energy resources,coupled with the extensivedeployment of sensing and communication devices,has resulted inthe new-type power system characterized by dynamic complexityand high uncertainty[1]-[4].展开更多
Modern industrial environments require uninterrupted machinery operation to maintain productivity standards while ensuring safety and minimizing costs.Conventional maintenance methods,such as reactive maintenance(i.e....Modern industrial environments require uninterrupted machinery operation to maintain productivity standards while ensuring safety and minimizing costs.Conventional maintenance methods,such as reactive maintenance(i.e.,run to failure)or time-based preventive maintenance(i.e.,scheduled servicing),prove ineffective for complex systems with many Internet of Things(IoT)devices and sensors because they fall short in detecting faults at early stages when it is most crucial.This paper presents a predictive maintenance framework based on a hybrid deep learning model that integrates the capabilities of Long Short-Term Memory(LSTM)Networks and Convolutional Neural Networks(CNNs).The framework integrates spatial feature extraction and temporal sequence modeling to accurately classify the health state of industrial equipment into three categories,including Normal,Require Maintenance,and Failed.The framework uses a modular pipeline that includes IoT-enabled data collection along with secure transmission methods to manage cloud storage and provide real-time fault classification.The FD004 subset of the NASA C-MAPSS dataset,containing multivariate sensor readings from aircraft engines,serves as the training and evaluation data for the model.Experimental results show that the LSTM-CNN model outperforms baseline models such as LSTM-SVM and LSTM-RNN,achieving an overall average accuracy of 86.66%,precision of 86.00%,recall of 86.33%,and F1-score of 86.33%.Contrary to the previous LSTM-CNN-based predictive maintenance models that either provide a binary classification or rely on synthetically balanced data,our paper provides a three-class maintenance state(i.e.,Normal,Require Maintenance,and Failed)along with threshold-based labeling that retains the true nature of the degradation.In addition,our work also provides an IoT-to-cloud-based modular architecture for deployment.It offers Computerized Maintenance Management System(CMMS)integration,making our proposed solution not only technically sound but also practical and innovative.The solution achieves real-world industrial deployment readiness through its reliable performance alongside its scalable system design.展开更多
With the progress of Industry 4.0,collaborative robots(cobots) have become a key area of innovation.However,safety standards such as ISO/TS 15066 often lag behind rapid technological advances,failing to balance safety...With the progress of Industry 4.0,collaborative robots(cobots) have become a key area of innovation.However,safety standards such as ISO/TS 15066 often lag behind rapid technological advances,failing to balance safety and innovation.This paper analyzes the conflicts between standards and innovation of industrial cobots,including lag,rigidity,and safetyperformance trade-offs.It proposes flexible standards,regulatory sandboxes,and lifecycle safety approaches to align safety with technological progress.展开更多
Large-scale geodetic data acquisition is fundamental to infrastructure lifecycle management,construction quality control,urban digital twins,and hazard monitoring,yet conventional surveying workflows remain labor-inte...Large-scale geodetic data acquisition is fundamental to infrastructure lifecycle management,construction quality control,urban digital twins,and hazard monitoring,yet conventional surveying workflows remain labor-intensive and difficult to scale in complex or hazardous environments.The industrial robot technology is proving to be an enabling technology in providing repeatable,high-throughput,and safety-conscious geodetic acquisition through its ability to offer controllable motion,stable sensor deployment,and autonomy coupled with perception stacks.The review itself is a synthesis of the recent studies on robot-based geodetic acquisition from the platform workflow application perspective.We summarize in the priority industrial robot platforms which have potential applications in geodesy,distinction being made between those based on autonomous mobile robots,mobile manipulators,fixed-base manipulators,cooperative multi-robot arrangements,and the design considerations underlying their construction:geometric stability,payload loading,and tightly constrained safety of operation.We then consider sensing configurations,principles of calibration and synchronization,as well as acquisition strategies that regulate the completeness of data and measurement consistency.The foundations of core processing are examined in light of georeferencing,registration,Simultaneous Localization and Mapping(SLAM)-based localization,and uncertainty propagation,which are essential to achieve survey-grade outputs.The evidence of application is discussed in the framework of infrastructure monitoring,construction,industrial facilities,urban/corridor mapping,mining,and indoor/underground settings,showing areas of obvious robotics advantage in repeatability and risk mitigation,as well as conditions of limitation because of the Global Navigation Satellite System(GNSS)denial,drift,calibration sensitivity,and inconsistent evaluation practices.Lastly,we determine research priorities such as benchmark datasets and metrics,accuracy-motivated autonomy,strong multisensor fusion with uncertainty results,and a closer association with Building Information Modeling(BIM)/digital twin pipelines.展开更多
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
文摘After announcing the goal of building a moderately prosperous society in all respects by 2020, the Chinese leadership also called for a new path of industrialization, putting a premium on quality and new development concepts. Unlike traditional industrialization in the broad or narrow sense, new-type industrialization features synergy between primary, secondary, and tertiary industries, integration between traditional economy and the new economy, environmental protection, technology progress, and innovation. It represents an inclusive approach to industrial development. At the fundamental level, the success of China’s new-type industrialization can be attributed to China’s inclusive learning and innovations.
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 Third Xinjiang Scientific Expedition Program(Grant No.2021xjkk0905)the National Natural Science Foundation of China(Grant No.42121001).
文摘New-type urbanization(NTU)is proposed by China to solve unsustainable issues and improve green development efficiency(GDE)during the process of rapid urbanization.However,the impact mechanism of NTU on GDE is unclear.Using panel data of 282 prefecture-level cities in China from 2010 to 2019,we measured NTU and GDE to describe their spatiotemporal pattern and relationship evolution.The fixed effects panel model and mediating effect panel model were further utilized to analyze the benchmark impact,mediating mechanism and spatiotem-poral heterogeneity of NTU on GDE.The results showed that NTU improved,with the highest levels observed in the eastern region,while GDE increased with fluctuations,performing better in both the eastern and western regions.With the proportion of double-high cities increasing from 13.83%to 43.62%,the NTU-GDE relationship was upgraded.Overall,every 1%improvement in NTU increased GDE by 0.3111%,and the enterprise effect,resident effect and government effect played a positive mediating role from high to low.During the later stage of NTU,its impact on GDE strengthened significantly,and the mediating role of governments was optimized.The eastern region was the only region with three positive mediating roles of governments,enterprises and residents.These findings will promote GDE through NTU in China and serve as a valuable reference for sustainable global urbanization.
基金Supported by Science and Technology Project of State Grid Corporation of China(5108-202218280A-2-396-XG).
文摘Regard to the real-time dynamic digital twin modelling problem of a new-type distribution network that includes distributed resources such as distributed photovoltaic,energy storage,charging pile,and electric vehicle,a new-type distribution network digital twin topology modeling method based on Common Information Model(CIM)specifications and spectral clustering is proposed.Firstly,according to the specifications of the CIM standard,the digital twin topology models of distributed resources are extended and established.Secondly,based on the digital twin topology models of distributed resources,a digital twin aggregation modelling method for new-type distribution network is proposed based on spectral clustering.Furthermore,an online linked update strategy for the digital twin model of new-type distribution network that integrates real-time topology states is proposed.Finally,a case study is conducted on a distribution network in a certain demonstration area in China,and the results verify the practicability and effectiveness of the method proposed in this paper.This lays the foundation for the application of electrical network twin analysis,such as power flow calculation,optimal power flow,economic dispatch,and safety check,in a new-type distribution network that includes diversified distributed resources.
基金Supported by the DST-FIST file(#MSI-097)funded by UGC granted National Fellowship for Other Backward Classes(NFO-2018-19-OBC-GUJ-71790)funded by a Junior Research Fellowship from the Council of Scientific&Industrial Research(09/07(0061)/2019-EMR-I)。
文摘More than 30%of the earth's land surface is covered by the forest.Increase in population undergoes activities like construction,grazing,agriculture activities,and industrialization causing permanent clearing of land to make room for something besides the forest,which is called deforestation.Considering this scenario,the mathematical model is framed for studying the dynamics with using four compartments such as deforestation of the dense forest,deforestation of the urban forest,population growth and wood industrialization.Using the dynamical phenomenon,the boundedness of the system is proposed.The proposed model has five equilibria.Behaviour of the system around all feasible equilibria is scrutinized through local stability theory of diferential equations.The 3d phase portrait gives the chaotic behavior of each compartment.Basic reproduction number value assists the bifurcation and the sensitivity analysis.Bifurcation analysis gives the ideal value,then the comparison of threshold and ideal value suggests the permissible situation of the compartment.For these findings,analytics results are verified through numerically validated data.
基金supported by the National Natural Science Foundation of China(Grant No.42293271)the Alliance of International Science Organizations(Grant No.ANSO-PA-2023-16)。
文摘Global sustainable development cannot be achieved by neglecting rural areas.These regions represent vast territorial spaces beyond urban built-up areas,possessing comparative advantages through their distinctive ecological resources.The transformation of ecological resources into economic value,commonly referred to as ecological industrialization,enhances rural economic vitality and developmental potential.Comprehensive rural revitalization strengthens regional functionality and development resilience,thereby promoting sustainable rural development.Based on human-earth system science,we theorize ecological industrialization as the PGR model,manifesting the transformation path from“poor mountain”to“green mountain”and then to“rich mountain”.It is noteworthy that in regions endowed with beautiful ecological landscapes,the PGR model prioritizes the transformation of“green mountain”to“rich mountain”.The essence of rural revitalization manifests through areal transformations driven by tripartite forces:the rural internal force,urban peripheral force,and urban-rural interaction force.There is a mutually reinforcing relationship between ecological industrialization and rural revitalization,and the implementation of the two can realize the coordinated development of rural functions.In this process,rural areas have realized the transformation from degraded land system to human-earth coupling system.Furthermore,through the examination of Fuping,Liuba,and Sanming as exemplary case studies,we have distilled three distinct modes of ecological industrialization:the circular industry mode,the ecological tourism mode,and the carbon sink trading mode.It is recommended that rural areas prioritize the coordinated implementation of ecological industrialization and rural revitalization in accordance with regional characteristics,so as to better foster rural sustainable development.
基金supported by the Knowledge Innovation Program of Wuhan-Shuguang Project(Grant No.2023010201020443)the School-Level Scientific Research Project Funding Program of Jianghan University(Grant No.2022XKZX33)the Natural Science Foundation of Hubei Province(Grant No.2024AFB466).
文摘The 6D pose estimation of objects is of great significance for the intelligent assembly and sorting of industrial parts.In the industrial robot production scenarios,the 6D pose estimation of industrial parts mainly faces two challenges:one is the loss of information and interference caused by occlusion and stacking in the sorting scenario,the other is the difficulty of feature extraction due to the weak texture of industrial parts.To address the above problems,this paper proposes an attention-based pixel-level voting network for 6D pose estimation of weakly textured industrial parts,namely CB-PVNet.On the one hand,the voting scheme can predict the keypoints of affected pixels,which improves the accuracy of keypoint localization even in scenarios such as weak texture and partial occlusion.On the other hand,the attention mechanism can extract interesting features of the object while suppressing useless features of surroundings.Extensive comparative experiments were conducted on both public datasets(including LINEMOD,Occlusion LINEMOD and T-LESS datasets)and self-made datasets.The experimental results indicate that the proposed network CB-PVNet can achieve accuracy of ADD(-s)comparable to state-of-the-art using only RGB images while ensuring real-time performance.Additionally,we also conducted robot grasping experiments in the real world.The balance between accuracy and computational efficiency makes the method well-suited for applications in industrial automation.
文摘This paper presents the performance and characteristics of new-type sulfur tolerant shift catalyst QDB-04 and its industrial side-line test as well as the first-time industrial application in Lunan Chemical Fertilizer Plant of Shandong in China. The results show that the catalyst has high strength and strength stability, good low temperature activity and stability as well as low potassium bleeding ratio which well meet for the requirements of the methanol plant on catalyst performance in Lunan Chemical Fertilizer Plant.
文摘In recent years,against the backdrop of profound geopolitical changes,the European Union(EU)has been deeply mired in an industrial predicament,showing signs of shrinking production,capital outflows,relocation of production capacity,and lagging development in future industries.The primary causes of this situation include the energy supply crisis stemming from the decoupling from Russian energy,the impact of America's unilateral trade policy,structural flaws within the EU itself,and the intensification of global industrial competition.To overcome these challenges,the EU has introduced a series of new industrial policies,aiming at revitalizing its industries by strengthening support for local manufacturing,enhancing protective mechanisms for its domestic production,building diversified supply chains,and prioritizing the development of military industry.However,due to multiple obstacles such as heavy external dependence,significant funding gaps,internal divisions,and strategic short-sightedness,the EU still faces a long and arduous journey in its industrial revival.
文摘Recently,the Standardization Administration of China issued Announcement No.1 of 2026,officially approving the establishment of the Subcommittee 1 on Nonwoven Material of National Technical Committee 606 on Technical Textiles of Standardization Administration of China(SAC/TC606/SC1)and the Subcommittee 2 on Filtration and Separation Textiles of National Technical Committee 606 on Technical Textiles of Standardization Administration of China(SAC/TC606/SC2).The formation of these two subcommittees marks a crucial step in the standardization development of China's industrial textiles sector in specialized fields.
文摘The increasing interconnection of modern industrial control systems(ICSs)with the Internet has enhanced operational efficiency,but alsomade these systemsmore vulnerable to cyberattacks.This heightened exposure has driven a growing need for robust ICS security measures.Among the key defences,intrusion detection technology is critical in identifying threats to ICS networks.This paper provides an overview of the distinctive characteristics of ICS network security,highlighting standard attack methods.It then examines various intrusion detection methods,including those based on misuse detection,anomaly detection,machine learning,and specialised requirements.This paper concludes by exploring future directions for developing intrusion detection systems to advance research and ensure the continued security and reliability of ICS operations.
文摘Long associated with industrial smoke and heavy pollution,the chemical industry is undergoing a rapid transition to cleaner production.In the Jintang Economic Development Zone in Chengdu,Sichuan Province,B&M Tech’s lithium-ion battery materials factory exemplifies this change.
基金supported by the National Research Foundation of Korea(NRF)grant funded by the Korea government(MSIT)(RS-2023-00242528,50%)supported by the Korea Internet&Security Agency(KISA)through the Information Security Specialized University Support Project(50%).
文摘As attack techniques evolve and data volumes increase,the integration of artificial intelligence-based security solutions into industrial control systems has become increasingly essential.Artificial intelligence holds significant potential to improve the operational efficiency and cybersecurity of these systems.However,its dependence on cyber-based infrastructures expands the attack surface and introduces the risk that adversarial manipulations of artificial intelligence models may cause physical harm.To address these concerns,this study presents a comprehensive review of artificial intelligence-driven threat detection methods and adversarial attacks targeting artificial intelligence within industrial control environments,examining both their benefits and associated risks.A systematic literature review was conducted across major scientific databases,including IEEE,Elsevier,Springer Nature,ACM,MDPI,and Wiley,covering peer-reviewed journal and conference papers published between 2017 and 2026.Studies were selected based on predefined inclusion and exclusion criteria following a structured screening process.Based on an analysis of 101 selected studies,this survey categorizes artificial intelligence-based threat detection approaches across the physical,control,and application layers of industrial control systems and examines poisoning,evasion,and extraction attacks targeting industrial artificial intelligence.The findings identify key research trends,highlight unresolved security challenges,and discuss implications for the secure deployment of artificial intelligence-enabled cybersecurity solutions in industrial control systems.
基金Fundamental Research Funds for the Central Universities of China(No.2232024G-01)Textile Vision Basic Research Program,China(No.J202305)。
文摘As the annual production of industrial hemp in China increases and its global market share grows,its multipurpose development has become an important trend for future development.The cellulose mass fraction of industrial hemp was found to be as high as 59.36%by chemical composition determination,providing a possibility for the production of nanocellulose.To broaden the application field of industrial hemp,the 2,2,6,6-tetramethylpiperidine-1-oxyl radical(TEMPO)-oxidized nanocellulose(TCNF),sulfuric acid hydrolyzed nanocellulose(SCNC),and lignincontaining hydrolyzed nanocellulose(LCNC)were prepared by multi-step chemical purification pretreatment combined with TEMPO oxidation and sulfuric acid hydrolysis,respectively.They were characterized by Fourier transform infrared(FTIR)spectroscopy,X-ray diffraction(XRD),and thermogravimetric analysis(TGA).The effects of the sodium hypochlorite volume,sodium hydroxide mass fraction in the pretreatment process,and acid hydrolysis reaction time on the Zeta potential and particle size of the prepared nanocellulose were investigated.The absolute value of the Zeta potential of SCNC could reach 29.59 mV,and the particle size was small.The suspension could still maintain good dispersion stability after standing for 24.0 h under the same dispersion conditions.The basic functional group composition and crystal morphology of TCNF,SCNC,and LCNC did not change compared with the raw hemp,and the highest crystallinity increased from 24.6%to 68.1%.Due to the introduction of ester and carboxyl groups,the initial degradation temperature and the temperature at the maximum mass loss rate of the nanocellulose were lower than those of the raw hemp,but the nanocellulose still maintained the thermal stability for practical applications.
文摘Industrial Cyber-Physical Systems(ICPSs)play a vital role in modern industries by providing an intellectual foundation for automated operations.With the increasing integration of information-driven processes,ensuring the security of Industrial Control Production Systems(ICPSs)has become a critical challenge.These systems are highly vulnerable to attacks such as denial-of-service(DoS),eclipse,and Sybil attacks,which can significantly disrupt industrial operations.This work proposes an effective protection strategy using an Artificial Intelligence(AI)-enabled Smart Contract(SC)framework combined with the Heterogeneous Barzilai-Borwein Support Vector(HBBSV)method for industrial-based CPS environments.The approach reduces run time and minimizes the probability of attacks.Initially,secured ICPSs are achieved through a comprehensive exchange of views on production plant strategies for condition monitoring using SC and blockchain(BC)integrated within a BC network.The SC executes the HBBSV strategy to verify the security consensus.The Barzilai-Borwein Support Vectorized algorithm computes abnormal attack occurrence probabilities to ensure that components operate within acceptable production line conditions.When a component remains within these conditions,no security breach occurs.Conversely,if a component does not satisfy the condition boundaries,a security lapse is detected,and those components are isolated.The HBBSV method thus strengthens protection against DoS,eclipse,and Sybil attacks.Experimental results demonstrate that the proposed HBBSV approach significantly improves security by enhancing authentication accuracy while reducing run time and authentication time compared to existing techniques.
基金partially supported by the National Natural Science Foundation of China(62293500,62293505,62233010,62503240)Natural Science Foundation of Jiangsu Province(BK20250679)。
文摘THE power industrial control system(power ICS)is thecore infrastructure that ensures the safe,stable,and efficient operation of power systems.Its architecture typi-cally adopts a hierarchical and partitioned end-edge-cloud collaborative design.However,the large-scale integration ofdistributed renewable energy resources,coupled with the extensivedeployment of sensing and communication devices,has resulted inthe new-type power system characterized by dynamic complexityand high uncertainty[1]-[4].
文摘Modern industrial environments require uninterrupted machinery operation to maintain productivity standards while ensuring safety and minimizing costs.Conventional maintenance methods,such as reactive maintenance(i.e.,run to failure)or time-based preventive maintenance(i.e.,scheduled servicing),prove ineffective for complex systems with many Internet of Things(IoT)devices and sensors because they fall short in detecting faults at early stages when it is most crucial.This paper presents a predictive maintenance framework based on a hybrid deep learning model that integrates the capabilities of Long Short-Term Memory(LSTM)Networks and Convolutional Neural Networks(CNNs).The framework integrates spatial feature extraction and temporal sequence modeling to accurately classify the health state of industrial equipment into three categories,including Normal,Require Maintenance,and Failed.The framework uses a modular pipeline that includes IoT-enabled data collection along with secure transmission methods to manage cloud storage and provide real-time fault classification.The FD004 subset of the NASA C-MAPSS dataset,containing multivariate sensor readings from aircraft engines,serves as the training and evaluation data for the model.Experimental results show that the LSTM-CNN model outperforms baseline models such as LSTM-SVM and LSTM-RNN,achieving an overall average accuracy of 86.66%,precision of 86.00%,recall of 86.33%,and F1-score of 86.33%.Contrary to the previous LSTM-CNN-based predictive maintenance models that either provide a binary classification or rely on synthetically balanced data,our paper provides a three-class maintenance state(i.e.,Normal,Require Maintenance,and Failed)along with threshold-based labeling that retains the true nature of the degradation.In addition,our work also provides an IoT-to-cloud-based modular architecture for deployment.It offers Computerized Maintenance Management System(CMMS)integration,making our proposed solution not only technically sound but also practical and innovative.The solution achieves real-world industrial deployment readiness through its reliable performance alongside its scalable system design.
文摘With the progress of Industry 4.0,collaborative robots(cobots) have become a key area of innovation.However,safety standards such as ISO/TS 15066 often lag behind rapid technological advances,failing to balance safety and innovation.This paper analyzes the conflicts between standards and innovation of industrial cobots,including lag,rigidity,and safetyperformance trade-offs.It proposes flexible standards,regulatory sandboxes,and lifecycle safety approaches to align safety with technological progress.
基金funded by the 2026 School-level Sci-entific Research Project(wzdzrzd202611)the 2024 Anhui Province University Scientific Research Projects(2024AH052016,2024AH052017).
文摘Large-scale geodetic data acquisition is fundamental to infrastructure lifecycle management,construction quality control,urban digital twins,and hazard monitoring,yet conventional surveying workflows remain labor-intensive and difficult to scale in complex or hazardous environments.The industrial robot technology is proving to be an enabling technology in providing repeatable,high-throughput,and safety-conscious geodetic acquisition through its ability to offer controllable motion,stable sensor deployment,and autonomy coupled with perception stacks.The review itself is a synthesis of the recent studies on robot-based geodetic acquisition from the platform workflow application perspective.We summarize in the priority industrial robot platforms which have potential applications in geodesy,distinction being made between those based on autonomous mobile robots,mobile manipulators,fixed-base manipulators,cooperative multi-robot arrangements,and the design considerations underlying their construction:geometric stability,payload loading,and tightly constrained safety of operation.We then consider sensing configurations,principles of calibration and synchronization,as well as acquisition strategies that regulate the completeness of data and measurement consistency.The foundations of core processing are examined in light of georeferencing,registration,Simultaneous Localization and Mapping(SLAM)-based localization,and uncertainty propagation,which are essential to achieve survey-grade outputs.The evidence of application is discussed in the framework of infrastructure monitoring,construction,industrial facilities,urban/corridor mapping,mining,and indoor/underground settings,showing areas of obvious robotics advantage in repeatability and risk mitigation,as well as conditions of limitation because of the Global Navigation Satellite System(GNSS)denial,drift,calibration sensitivity,and inconsistent evaluation practices.Lastly,we determine research priorities such as benchmark datasets and metrics,accuracy-motivated autonomy,strong multisensor fusion with uncertainty results,and a closer association with Building Information Modeling(BIM)/digital twin pipelines.
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.
