The multi-terminal direct current(DC)grid has extinctive superiorities over the traditional alternating current system in integrating large-scale renewable energy.Both the DC circuit breaker(DCCB)and the current flow ...The multi-terminal direct current(DC)grid has extinctive superiorities over the traditional alternating current system in integrating large-scale renewable energy.Both the DC circuit breaker(DCCB)and the current flow controller(CFC)are demanded to ensure the multiterminal DC grid to operates reliably and flexibly.However,since the CFC and the DCCB are all based on fully controlled semiconductor switches(e.g.,insulated gate bipolar transistor,integrated gate commutated thyristor,etc.),their separation configuration in the multiterminal DC grid will lead to unaffordable implementation costs and conduction power losses.To solve these problems,integrated equipment with both current flow control and fault isolation abilities is proposed,which shares the expensive and duplicated components of CFCs and DCCBs among adjacent lines.In addition,the complicated coordination control of CFCs and DCCBs can be avoided by adopting the integrated equipment in themultiterminal DC grid.In order to examine the current flow control and fault isolation abilities of the integrated equipment,the simulation model of a specific meshed four-terminal DC grid is constructed in the PSCAD/EMTDC software.Finally,the comparison between the integrated equipment and the separate solution is presented a specific result or conclusion needs to be added to the abstract.展开更多
ZFJ Textile Machinery Co.,Ltd.,established in 1949,is a key enterprise directly managed by China Hi-Tech Group Corporation and falls under the jurisdiction of China National Machinery Industry Corporation Limited(Sino...ZFJ Textile Machinery Co.,Ltd.,established in 1949,is a key enterprise directly managed by China Hi-Tech Group Corporation and falls under the jurisdiction of China National Machinery Industry Corporation Limited(Sinomach).As a leading enterprise in the textile machinery manufacturing industry,ZFJ is dedicated to providing global customers with complete equipment solutions covering the entire industry chain.During this exhibition,ZFJ primarily highlights three key features:"high-performance fibers,green fibers,and intelligent equipment,"with a focus on showcasing nine types of products,spanning various textile equipment categories,including chemical fiber,specialty fiber,nonwoven,sizing,and dyeing machinery.展开更多
GERON Card Clothing(Jiangsu)Co.,Ltd.was founded in 1987 and is a professional textile carding equipment enterprise integrating research,production and sales.The production and sales of carding equipment have been lead...GERON Card Clothing(Jiangsu)Co.,Ltd.was founded in 1987 and is a professional textile carding equipment enterprise integrating research,production and sales.The production and sales of carding equipment have been leading the industry for many years.Our products include metallic card clothing,flat-top,stationary flat,circular comb and combing roller.Our brands include TYRION,Blue Diamond,Diamond,Pioneer and Lance.We provide customers with the most advanced carding solutions.展开更多
In this article,the multi-parameters Mittag-Leffler function is studied in detail.As a consequence,a series of novel results such as the integral representation,series representation and Mellin transform to the above ...In this article,the multi-parameters Mittag-Leffler function is studied in detail.As a consequence,a series of novel results such as the integral representation,series representation and Mellin transform to the above function,are obtained.Especially,we associate the multi-parameters Mittag-Leffler function with two special functions which are the generalized Wright hypergeometric and the Fox’s-H functions.Meanwhile,some interesting integral operators and derivative operators of this function,are also discussed.展开更多
Multi-parameter quantum estimation has attracted considerable attention due to its broad applications.Due to the complexity of quantum dynamics,existing research places significant emphasis on estimating parameters in...Multi-parameter quantum estimation has attracted considerable attention due to its broad applications.Due to the complexity of quantum dynamics,existing research places significant emphasis on estimating parameters in time-independent Hamiltonians.Here,our work makes an effort to explore multi-parameter estimation with time-dependent Hamiltonians.In particular,we focus on the discrimination of two close frequencies of a magnetic field by using a single qubit.We optimize the quantum controls by employing both traditional optimization methods and reinforcement learning to improve the precision for estimating the frequencies of the two magnetic fields.In addition to the estimation precision,we also evaluate the robustness of the optimization schemes against the shift of the control parameters.The results demonstrate that the hybrid reinforcement learning approach achieves the highest estimation precision,and exhibits superior robustness.Moreover,a fundamental challenge in multi-parameter quantum estimation stems from the incompatibility of the optimal control strategies for different parameters.We demonstrate that the hybrid control strategies derived through numerical optimization remain effective in enhancing the precision of multi-parameter estimation in spite of the incompatibilities,thereby mitigating incompatibilities between control strategies on the estimation precision.Finally,we investigate the trade-offs in estimation precision among different parameters for different scenarios,revealing the inherent challenges in balancing the optimization of multiple parameters simultaneously and providing insights into the fundamental distinction between quantum single-parameter estimation and multi-parameter estimation.展开更多
At the"Deep Sea New Offshore Equipment Development Forum"held during the 2025 Nantong Shipbuilding and Offshore Engineering Industry Exhibition,industry experts and enterprise representatives conducted in-de...At the"Deep Sea New Offshore Equipment Development Forum"held during the 2025 Nantong Shipbuilding and Offshore Engineering Industry Exhibition,industry experts and enterprise representatives conducted in-depth exchanges on key topics such as technological innovation and industrial chain synergy in the offshore equipment industry,offshore oil and gas development market trends,green and low-carbon technology development,and deep-sea equipment,providing an important reference for the future development path of the offshore equipment industry.The vips said that at present,although the offshore equipment market is facing short-term fluctuations,its long-term potential is highlighted,and the green and intelligent transformation is injecting strong new momentum into the development of the industry.展开更多
Purpose–This paper aims to systematically review the evolution of inspection technologies and equipment for heavy-haul railway infrastructure,with a focus on China’s Shuohuang Railway and Daqin Railway.It summarizes...Purpose–This paper aims to systematically review the evolution of inspection technologies and equipment for heavy-haul railway infrastructure,with a focus on China’s Shuohuang Railway and Daqin Railway.It summarizes the technological progression from traditional manual inspections to integrated and intelligent inspection systems,analyzes their practical application outcomes and outlines future research directions to support the safe,efficient and sustainable operation of heavy-haul railways.Design/methodology/approach–The study employs a combination of historical and empirical analysis,primarily drawing on academic literature and operational data from Shuohuang Railway.The development of inspection technologies is categorized into two distinct phases:traditional inspection and integrated inspection.The comprehensive effectiveness of these technologies is evaluated based on actual inspection efficiency,defect detection capability,cost savings and other relevant data.Findings–The adoption of integrated inspection vehicles has significantly improved inspection efficiency and accuracy.In 2014,the world’s first heavy-haul integrated inspection vehicle enabled synchronous multidisciplinary inspections,greatly reducing reliance on manual labor.By 2024,the intelligent heavy-haul integrated inspection vehicle further enhanced detection precision by 30%.Practical applications demonstrate that the annual number of track defects decreased from 25,000 to 3,800,while the track quality index(TQI)remained stable below 6 mm.Additionally,annual maintenance costs were reduced by more than 40 m yuan.Originality/value–This paper provides the first systematic review of the development of inspection technologies for heavy-haul railway infrastructure,highlighting China’s leading achievements in integrated and intelligent inspection.It clarifies the practical value of these technologies in enhancing safety,reducing costs and optimizing maintenance operations.Furthermore,it proposes future directions for development,including system integration,onboard computing capabilities and unmanned operations,offering valuable insights for technological innovation and policymaking in the field.展开更多
Relevant documents issued by the General Office of the State Council and the Ministry of Health require hospitals to reduce operating costs and improve efficiency,which will place newer and higher demands on medical e...Relevant documents issued by the General Office of the State Council and the Ministry of Health require hospitals to reduce operating costs and improve efficiency,which will place newer and higher demands on medical equipment management.However,the current process of medical equipment quality control in hospitals faces issues such as weak control awareness,untimely maintenance of faulty equipment,and a lack of informatization management tools.These problems severely restrict the development of medical equipment quality management.To address these issues,this article uses a tertiary hospital in Urumqi as an experimental platform to analyze the deficiencies in the current medical equipment quality control management system of public hospitals.Based on practical needs such as equipment procurement,contract management,and equipment management,the research is conducted from three aspects:system architecture,functional design,and talent training,utilizing an information management system.Suggestions are provided,aiming to make a modest contribution to promoting medical equipment quality control management in China.展开更多
Materials mechanics and structural dynamics provide theoretical support for the structural optimization of amusement facilities.The design code system guides the design process,covering aspects such as strength and fa...Materials mechanics and structural dynamics provide theoretical support for the structural optimization of amusement facilities.The design code system guides the design process,covering aspects such as strength and fatigue life.This paper introduces optimization methods like standardized module interfaces and variable density methods,as well as topics related to finite element simulation,reliability enhancement,innovative practices,and their significance.展开更多
The publisher regrets that the article type for this publication was incorrectly labeled as a Research Article.The correct designation should be Review Article.This correction does not affect the content or conclusion...The publisher regrets that the article type for this publication was incorrectly labeled as a Research Article.The correct designation should be Review Article.This correction does not affect the content or conclusions of the article.The publisher apologizes for any inconvenience caused.展开更多
Safety maintenance of power equipment is of great importance in power grids,in which image-processing-based defect recognition is supposed to classify abnormal conditions during daily inspection.However,owing to the b...Safety maintenance of power equipment is of great importance in power grids,in which image-processing-based defect recognition is supposed to classify abnormal conditions during daily inspection.However,owing to the blurred features of defect images,the current defect recognition algorithm has poor fine-grained recognition ability.Visual attention can achieve fine-grained recognition with its abil-ity to model long-range dependencies while introducing extra computational complexity,especially for multi-head attention in vision transformer structures.Under these circumstances,this paper proposes a self-reduction multi-head attention module that can reduce computational complexity and be easily combined with a Convolutional Neural Network(CNN).In this manner,local and global fea-tures can be calculated simultaneously in our proposed structure,aiming to improve the defect recognition performance.Specifically,the proposed self-reduction multi-head attention can reduce redundant parameters,thereby solving the problem of limited computational resources.Experimental results were obtained based on the defect dataset collected from the substation.The results demonstrated the efficiency and superiority of the proposed method over other advanced algorithms.展开更多
As a key process in the manufacturing of hollow turbine blades for aeroengines,ceramic-core stereolithography(SL)is vital for the structural design and precise performance control of hollow turbine blades for aeroengi...As a key process in the manufacturing of hollow turbine blades for aeroengines,ceramic-core stereolithography(SL)is vital for the structural design and precise performance control of hollow turbine blades for aeroengines.Based on SL and digital light processing(DLP),ceramic SL has technical advantages such as high flexibility,short process flow,and integrated structure-performance manufacturing,making it ideal for manufacturing complex hollow ceramic cores.Currently,ceramic cores produced using this technology still encounter several challenges such as low bending strength,low dimensional accuracy,significant sintering shrinkage,and poor surface quality,which limit the innovative development and engineering applications of the additive manufacturing of UV-cured ceramics.This paper reviews the development of additive manufacturing technology and equipment for the vat polymerization of ceramic cores used in aeroengine blades and summarizes the principles and characteristics of vat polymerization for manufacturing ceramic cores.It also highlights research progress in lightweight structural design methods for ceramic cores,ceramic slurry preparation processes,SL processes,debinding and sintering processes,integration of forming system equipment,and verification of aeroengine blade casting.A comprehensive performance control strategy for the SL of ceramic cores is proposed,and future development directions and trends in ceramic-core fabrication using SL technology are discussed.展开更多
The Internet of Things(IoT)technology offers significant advancements in fitness trackers and AI-driven health management systems and presents practical applications for monitoring health and performance.New energy co...The Internet of Things(IoT)technology offers significant advancements in fitness trackers and AI-driven health management systems and presents practical applications for monitoring health and performance.New energy composites,which improve the performance of traditional metals,have been widely used in automotive manufacturing but have limited application in the sports industry.To bridge this gap,the study proposes integrating these advanced composites into sports equipment and facilities,utilizing IoT technology as the foundation for intelligent health monitoring.The research explores how IoT technology can enhance the promotional impact of fitness equipment within the sports industry.Additionally,the communication process for data assessment is conducted using the Priority-based Congestion-avoidance Routing Protocol(PCRP)to ensure efficient data transmission.The analysis of sports activities is performed by utilizing the data transferred through PCRP.Experimental results show that the proposed mechanism outperforms conventional models,achieving an energy efficiency of 0.502 joules(J),a delay of 0.407 seconds(s),and a throughput of 0.620.These results demonstrate the potential of combining IoT technology and new energy composites to revolutionize sports equipment and enhance fitness monitoring systems.These findings highlight the potential of combining IoT and advanced composite materials to revolutionize sports equipment,improve fitness monitoring,and contribute to the growth of the sports industry through enhanced data management and energy-efficient technologies.展开更多
With the rapid development of the new energy industry,lithium batteries as key energy storage devices have an increasing demand for automated production and manufacturing.The automated guided vehicle(AGV),as a key equ...With the rapid development of the new energy industry,lithium batteries as key energy storage devices have an increasing demand for automated production and manufacturing.The automated guided vehicle(AGV),as a key equipment for achieving automation and intelligence in lithium battery production,has been widely applied in the lithium battery industry.This paper deeply explores the application of AGV in the analyzes its functions,advantages,and challenges in lithium battery automation equipment,various production processes,and looks ahead to its future development.Through research,it is found that AGV can effectively improve the production efficiency,reduce the costs,enhance the product quality,and the improve the production safety of the lithium batteries.Despite facing some challenges,with the continuous advancement of technology and the accumulation of application experience,AGV will have a broader development prospect in the lithium battery industry.展开更多
This article focuses on the management of large-scale machinery and equipment in highway construction,with the research objective of identifying issues at the management level and exploring more effective management m...This article focuses on the management of large-scale machinery and equipment in highway construction,with the research objective of identifying issues at the management level and exploring more effective management measures.Through practical observation and logical analysis,this article elaborates on the management connotations of large-scale machinery and equipment in highway construction,affirming its management value from different perspectives.On this basis,it carefully analyzes the problems existing in the management of large-scale machinery and equipment,providing a detailed interpretation of issues such as the weak foundation of the equipment management system and the disconnection between equipment selection and configuration from reality.Combining the manifestations of related problems,this article proposes strategies such as strengthening the institutional foundation of equipment management,selecting and configuring equipment based on actual conditions,aiming to provide references for large-scale machinery and equipment management to relevant enterprises.展开更多
The correct evaluation of enterprise technological innovation performance is the premise and foundation to improve the efficiency of enterprise innovation.This paper first puts forward the index system of enterprise t...The correct evaluation of enterprise technological innovation performance is the premise and foundation to improve the efficiency of enterprise innovation.This paper first puts forward the index system of enterprise technological innovation performance evaluation,then establishes the model of technological innovation performance evaluation,explores the quantitative evaluation of enterprise innovation performance by using the DEA method,and finally makes an empirical study on the technological innovation performance of the TR enterprise.展开更多
Titanium alloys have emerged as critical structural materials in nuclear power installations and marine equipment because of their exceptional specific strength and unparalleled corrosion resistance in extreme environ...Titanium alloys have emerged as critical structural materials in nuclear power installations and marine equipment because of their exceptional specific strength and unparalleled corrosion resistance in extreme environments.This review systematically examines recent advancements in titanium alloy development for nuclear and marine applications across global research communities.This comprehensive analysis encompasses the deployment of titanium alloys in nuclear reactors,conventional power submarines,nuclear power ships,and nuclear submarines.The elucidation of the technological disparities between domestic and international research paradigms is particularly emphasized,especially regarding material performance optimization and industrial implementation scales.Furthermore,this work identifies unexplored domestic research frontiers and proposes targeted strategies to further expand the research direction of titanium alloy application in the above fields in China.展开更多
Objective:In the Radiology Department of Mzuzu Central Hospital(MCH),daily training for radiographers now includes content on Computed Tomography(CT)image quality control and equipment maintenance to ensure the normal...Objective:In the Radiology Department of Mzuzu Central Hospital(MCH),daily training for radiographers now includes content on Computed Tomography(CT)image quality control and equipment maintenance to ensure the normal,continuous,and stable operation of the 16-slice spiral CT scanner.Methods:Through comprehensive analysis of relevant equipment,we have identified key parameters that significantly impact CT image quality.Innovative optimization strategies and solutions targeting these parameters have been developed and integrated into daily training programs.Furthermore,starting from an examination of prevalent failure modes observed in CT equipment,we delve into essential maintenance and preservation techniques that CT technologists must master to ensure optimal system performance.Results:(1)Crucial factors affecting CT image quality include artifacts,noise,partial volume effects,and surrounding gap phenomena,alongside spatial and density resolutions,CT dose,reconstruction algorithms,and human factors during the scanning process.In the daily training for radiographers,emphasis is placed on strictly implementing image quality control measures at every stage of the CT scanning process and skillfully applying advanced scanning and image processing techniques.By doing so,we can provide clinicians with accurate and reliable imaging references for diagnosis and treatment.(2)Strategies for CT equipment maintenance:①Environmental inspection of the CT room to ensure cleanliness and hygiene.②Rational and accurate operation,including calibration software proficiency.③Regular maintenance and servicing for minimizing machine downtime.④Maintenance of the CT X-ray tube.CT technicians can become proficient in equipment maintenance and upkeep techniques through training,which can significantly extend the service life of CT systems and reduce the occurrence of malfunctions.Conclusion:Through the regular implementation of rigorous CT image quality control training for radiology technicians,coupled with diligent and proactive CT equipment maintenance,we have observed profound and beneficial impacts on improving image quality.The accuracy and fidelity of radiological data ultimately leads to more accurate diagnoses and effective treatments.展开更多
In the context of increasing demand for coal mine resources in China’s current socio-economic development,traditional mining methods have been difficult to effectively meet the requirements of safety production and e...In the context of increasing demand for coal mine resources in China’s current socio-economic development,traditional mining methods have been difficult to effectively meet the requirements of safety production and environmental protection.As a result,coal mine filling mining technology has emerged,which can effectively achieve the goal of controlling surface subsidence in practical applications,while also significantly improving the recovery rate of coal resources.Based on this,this study will first elaborate on the characteristics of filling mining technology,and then analyze the key points of the application of supporting technology for mechanical and electrical equipment in the corresponding working face based on actual cases,in order to provide support for improving the efficiency of coal mining.展开更多
Based on waveform fitting,full waveform inversion(FWI)is an important inversion method with the ability to reconstruct multi-parameter models in high precision.However,the strong nonlinear equation used in FWI present...Based on waveform fitting,full waveform inversion(FWI)is an important inversion method with the ability to reconstruct multi-parameter models in high precision.However,the strong nonlinear equation used in FWI presents the following challenges,such as low convergence efficiency,high dependence on the initial model,and the energy imbalance in deep region of the inverted model.To solve these inherent problems,we develop a timedomain elastic FWI method based on gradient preconditioning with the following details:(1)the limited memory Broyden Fletcher Goldfarb Shanno method with faster convergence is adopted to im-prove the inversion stability;(2)a multi-scaled inversion strategy is used to alleviate the nonlinear inversion instead of falling into the local minimum;(3)in addition,the pseudo-Hessian preconditioned illumination operator is involved for preconditioning the parameter gradients to improve the illumination equilibrium degree of deep structures.Based on the programming implementation of the new method,a deep depression model with five diffractors is used for testing.Compared with the conventional elastic FWI method,the technique proposed by this study has better effectiveness and accuracy on the inversion effect and con-vergence,respectively.展开更多
基金supported in part by Natural Science Foundation of Jiangsu Province under Grant BK20230255Natural Science Foundation of Shandong Province under Grant ZR2023QE281.
文摘The multi-terminal direct current(DC)grid has extinctive superiorities over the traditional alternating current system in integrating large-scale renewable energy.Both the DC circuit breaker(DCCB)and the current flow controller(CFC)are demanded to ensure the multiterminal DC grid to operates reliably and flexibly.However,since the CFC and the DCCB are all based on fully controlled semiconductor switches(e.g.,insulated gate bipolar transistor,integrated gate commutated thyristor,etc.),their separation configuration in the multiterminal DC grid will lead to unaffordable implementation costs and conduction power losses.To solve these problems,integrated equipment with both current flow control and fault isolation abilities is proposed,which shares the expensive and duplicated components of CFCs and DCCBs among adjacent lines.In addition,the complicated coordination control of CFCs and DCCBs can be avoided by adopting the integrated equipment in themultiterminal DC grid.In order to examine the current flow control and fault isolation abilities of the integrated equipment,the simulation model of a specific meshed four-terminal DC grid is constructed in the PSCAD/EMTDC software.Finally,the comparison between the integrated equipment and the separate solution is presented a specific result or conclusion needs to be added to the abstract.
文摘ZFJ Textile Machinery Co.,Ltd.,established in 1949,is a key enterprise directly managed by China Hi-Tech Group Corporation and falls under the jurisdiction of China National Machinery Industry Corporation Limited(Sinomach).As a leading enterprise in the textile machinery manufacturing industry,ZFJ is dedicated to providing global customers with complete equipment solutions covering the entire industry chain.During this exhibition,ZFJ primarily highlights three key features:"high-performance fibers,green fibers,and intelligent equipment,"with a focus on showcasing nine types of products,spanning various textile equipment categories,including chemical fiber,specialty fiber,nonwoven,sizing,and dyeing machinery.
文摘GERON Card Clothing(Jiangsu)Co.,Ltd.was founded in 1987 and is a professional textile carding equipment enterprise integrating research,production and sales.The production and sales of carding equipment have been leading the industry for many years.Our products include metallic card clothing,flat-top,stationary flat,circular comb and combing roller.Our brands include TYRION,Blue Diamond,Diamond,Pioneer and Lance.We provide customers with the most advanced carding solutions.
基金Supported by The National Undergraduate Innovation Training Program(Grant No.202310290069Z).
文摘In this article,the multi-parameters Mittag-Leffler function is studied in detail.As a consequence,a series of novel results such as the integral representation,series representation and Mellin transform to the above function,are obtained.Especially,we associate the multi-parameters Mittag-Leffler function with two special functions which are the generalized Wright hypergeometric and the Fox’s-H functions.Meanwhile,some interesting integral operators and derivative operators of this function,are also discussed.
基金supported by the National Natural Science Foundation of China(Grant No.12075323)the Innovation Program for Quantum Science and Technology(Grant No.2021ZD0300702).
文摘Multi-parameter quantum estimation has attracted considerable attention due to its broad applications.Due to the complexity of quantum dynamics,existing research places significant emphasis on estimating parameters in time-independent Hamiltonians.Here,our work makes an effort to explore multi-parameter estimation with time-dependent Hamiltonians.In particular,we focus on the discrimination of two close frequencies of a magnetic field by using a single qubit.We optimize the quantum controls by employing both traditional optimization methods and reinforcement learning to improve the precision for estimating the frequencies of the two magnetic fields.In addition to the estimation precision,we also evaluate the robustness of the optimization schemes against the shift of the control parameters.The results demonstrate that the hybrid reinforcement learning approach achieves the highest estimation precision,and exhibits superior robustness.Moreover,a fundamental challenge in multi-parameter quantum estimation stems from the incompatibility of the optimal control strategies for different parameters.We demonstrate that the hybrid control strategies derived through numerical optimization remain effective in enhancing the precision of multi-parameter estimation in spite of the incompatibilities,thereby mitigating incompatibilities between control strategies on the estimation precision.Finally,we investigate the trade-offs in estimation precision among different parameters for different scenarios,revealing the inherent challenges in balancing the optimization of multiple parameters simultaneously and providing insights into the fundamental distinction between quantum single-parameter estimation and multi-parameter estimation.
文摘At the"Deep Sea New Offshore Equipment Development Forum"held during the 2025 Nantong Shipbuilding and Offshore Engineering Industry Exhibition,industry experts and enterprise representatives conducted in-depth exchanges on key topics such as technological innovation and industrial chain synergy in the offshore equipment industry,offshore oil and gas development market trends,green and low-carbon technology development,and deep-sea equipment,providing an important reference for the future development path of the offshore equipment industry.The vips said that at present,although the offshore equipment market is facing short-term fluctuations,its long-term potential is highlighted,and the green and intelligent transformation is injecting strong new momentum into the development of the industry.
基金supported by 2020 Science and Technology Innovation Project of Shuo-Huang Railway Development Company(SHTL-20-12).
文摘Purpose–This paper aims to systematically review the evolution of inspection technologies and equipment for heavy-haul railway infrastructure,with a focus on China’s Shuohuang Railway and Daqin Railway.It summarizes the technological progression from traditional manual inspections to integrated and intelligent inspection systems,analyzes their practical application outcomes and outlines future research directions to support the safe,efficient and sustainable operation of heavy-haul railways.Design/methodology/approach–The study employs a combination of historical and empirical analysis,primarily drawing on academic literature and operational data from Shuohuang Railway.The development of inspection technologies is categorized into two distinct phases:traditional inspection and integrated inspection.The comprehensive effectiveness of these technologies is evaluated based on actual inspection efficiency,defect detection capability,cost savings and other relevant data.Findings–The adoption of integrated inspection vehicles has significantly improved inspection efficiency and accuracy.In 2014,the world’s first heavy-haul integrated inspection vehicle enabled synchronous multidisciplinary inspections,greatly reducing reliance on manual labor.By 2024,the intelligent heavy-haul integrated inspection vehicle further enhanced detection precision by 30%.Practical applications demonstrate that the annual number of track defects decreased from 25,000 to 3,800,while the track quality index(TQI)remained stable below 6 mm.Additionally,annual maintenance costs were reduced by more than 40 m yuan.Originality/value–This paper provides the first systematic review of the development of inspection technologies for heavy-haul railway infrastructure,highlighting China’s leading achievements in integrated and intelligent inspection.It clarifies the practical value of these technologies in enhancing safety,reducing costs and optimizing maintenance operations.Furthermore,it proposes future directions for development,including system integration,onboard computing capabilities and unmanned operations,offering valuable insights for technological innovation and policymaking in the field.
基金Urumqi Health Committee Science and Technology Plan Project(202343)。
文摘Relevant documents issued by the General Office of the State Council and the Ministry of Health require hospitals to reduce operating costs and improve efficiency,which will place newer and higher demands on medical equipment management.However,the current process of medical equipment quality control in hospitals faces issues such as weak control awareness,untimely maintenance of faulty equipment,and a lack of informatization management tools.These problems severely restrict the development of medical equipment quality management.To address these issues,this article uses a tertiary hospital in Urumqi as an experimental platform to analyze the deficiencies in the current medical equipment quality control management system of public hospitals.Based on practical needs such as equipment procurement,contract management,and equipment management,the research is conducted from three aspects:system architecture,functional design,and talent training,utilizing an information management system.Suggestions are provided,aiming to make a modest contribution to promoting medical equipment quality control management in China.
文摘Materials mechanics and structural dynamics provide theoretical support for the structural optimization of amusement facilities.The design code system guides the design process,covering aspects such as strength and fatigue life.This paper introduces optimization methods like standardized module interfaces and variable density methods,as well as topics related to finite element simulation,reliability enhancement,innovative practices,and their significance.
文摘The publisher regrets that the article type for this publication was incorrectly labeled as a Research Article.The correct designation should be Review Article.This correction does not affect the content or conclusions of the article.The publisher apologizes for any inconvenience caused.
基金supported in part by Major Program of the National Natural Science Foundation of China under Grant 62127803.
文摘Safety maintenance of power equipment is of great importance in power grids,in which image-processing-based defect recognition is supposed to classify abnormal conditions during daily inspection.However,owing to the blurred features of defect images,the current defect recognition algorithm has poor fine-grained recognition ability.Visual attention can achieve fine-grained recognition with its abil-ity to model long-range dependencies while introducing extra computational complexity,especially for multi-head attention in vision transformer structures.Under these circumstances,this paper proposes a self-reduction multi-head attention module that can reduce computational complexity and be easily combined with a Convolutional Neural Network(CNN).In this manner,local and global fea-tures can be calculated simultaneously in our proposed structure,aiming to improve the defect recognition performance.Specifically,the proposed self-reduction multi-head attention can reduce redundant parameters,thereby solving the problem of limited computational resources.Experimental results were obtained based on the defect dataset collected from the substation.The results demonstrated the efficiency and superiority of the proposed method over other advanced algorithms.
基金supported by Jiangsu Provincial Basic Research Program(Natural Science Foundation)Youth Fund(Grant No.BK20230885)International Joint Laboratory of Sustainable Manufacturing,Ministry of Education,Fundamental Research Funds for Central Universities(Grant No.NG2024012)+1 种基金Basic Research Project for Major Special Programs of Aero-Engine and Gas Turbine(Grant No.J2022-Ⅶ-0006-0048)High-Quality Development Special Project of the Ministry of Industry and Information Technology.
文摘As a key process in the manufacturing of hollow turbine blades for aeroengines,ceramic-core stereolithography(SL)is vital for the structural design and precise performance control of hollow turbine blades for aeroengines.Based on SL and digital light processing(DLP),ceramic SL has technical advantages such as high flexibility,short process flow,and integrated structure-performance manufacturing,making it ideal for manufacturing complex hollow ceramic cores.Currently,ceramic cores produced using this technology still encounter several challenges such as low bending strength,low dimensional accuracy,significant sintering shrinkage,and poor surface quality,which limit the innovative development and engineering applications of the additive manufacturing of UV-cured ceramics.This paper reviews the development of additive manufacturing technology and equipment for the vat polymerization of ceramic cores used in aeroengine blades and summarizes the principles and characteristics of vat polymerization for manufacturing ceramic cores.It also highlights research progress in lightweight structural design methods for ceramic cores,ceramic slurry preparation processes,SL processes,debinding and sintering processes,integration of forming system equipment,and verification of aeroengine blade casting.A comprehensive performance control strategy for the SL of ceramic cores is proposed,and future development directions and trends in ceramic-core fabrication using SL technology are discussed.
基金supported by the Scientific Research and Innovation Team of Xi’an Eurasia University’Urban Sports Intellectualization Research Team’grant number[2021XJTD08]the Shaanxi Province Sports Bureau Research Project’Research on the Integration of the Whole Industry Chain of Sports Industry’grant number[2023317].
文摘The Internet of Things(IoT)technology offers significant advancements in fitness trackers and AI-driven health management systems and presents practical applications for monitoring health and performance.New energy composites,which improve the performance of traditional metals,have been widely used in automotive manufacturing but have limited application in the sports industry.To bridge this gap,the study proposes integrating these advanced composites into sports equipment and facilities,utilizing IoT technology as the foundation for intelligent health monitoring.The research explores how IoT technology can enhance the promotional impact of fitness equipment within the sports industry.Additionally,the communication process for data assessment is conducted using the Priority-based Congestion-avoidance Routing Protocol(PCRP)to ensure efficient data transmission.The analysis of sports activities is performed by utilizing the data transferred through PCRP.Experimental results show that the proposed mechanism outperforms conventional models,achieving an energy efficiency of 0.502 joules(J),a delay of 0.407 seconds(s),and a throughput of 0.620.These results demonstrate the potential of combining IoT technology and new energy composites to revolutionize sports equipment and enhance fitness monitoring systems.These findings highlight the potential of combining IoT and advanced composite materials to revolutionize sports equipment,improve fitness monitoring,and contribute to the growth of the sports industry through enhanced data management and energy-efficient technologies.
文摘With the rapid development of the new energy industry,lithium batteries as key energy storage devices have an increasing demand for automated production and manufacturing.The automated guided vehicle(AGV),as a key equipment for achieving automation and intelligence in lithium battery production,has been widely applied in the lithium battery industry.This paper deeply explores the application of AGV in the analyzes its functions,advantages,and challenges in lithium battery automation equipment,various production processes,and looks ahead to its future development.Through research,it is found that AGV can effectively improve the production efficiency,reduce the costs,enhance the product quality,and the improve the production safety of the lithium batteries.Despite facing some challenges,with the continuous advancement of technology and the accumulation of application experience,AGV will have a broader development prospect in the lithium battery industry.
文摘This article focuses on the management of large-scale machinery and equipment in highway construction,with the research objective of identifying issues at the management level and exploring more effective management measures.Through practical observation and logical analysis,this article elaborates on the management connotations of large-scale machinery and equipment in highway construction,affirming its management value from different perspectives.On this basis,it carefully analyzes the problems existing in the management of large-scale machinery and equipment,providing a detailed interpretation of issues such as the weak foundation of the equipment management system and the disconnection between equipment selection and configuration from reality.Combining the manifestations of related problems,this article proposes strategies such as strengthening the institutional foundation of equipment management,selecting and configuring equipment based on actual conditions,aiming to provide references for large-scale machinery and equipment management to relevant enterprises.
文摘The correct evaluation of enterprise technological innovation performance is the premise and foundation to improve the efficiency of enterprise innovation.This paper first puts forward the index system of enterprise technological innovation performance evaluation,then establishes the model of technological innovation performance evaluation,explores the quantitative evaluation of enterprise innovation performance by using the DEA method,and finally makes an empirical study on the technological innovation performance of the TR enterprise.
基金supported by the National Key R&D Plan of China(No.2022YFB 3705602)the Shanghai Science and Tech-nology Innovation Action Plan(No.22SQB00600).
文摘Titanium alloys have emerged as critical structural materials in nuclear power installations and marine equipment because of their exceptional specific strength and unparalleled corrosion resistance in extreme environments.This review systematically examines recent advancements in titanium alloy development for nuclear and marine applications across global research communities.This comprehensive analysis encompasses the deployment of titanium alloys in nuclear reactors,conventional power submarines,nuclear power ships,and nuclear submarines.The elucidation of the technological disparities between domestic and international research paradigms is particularly emphasized,especially regarding material performance optimization and industrial implementation scales.Furthermore,this work identifies unexplored domestic research frontiers and proposes targeted strategies to further expand the research direction of titanium alloy application in the above fields in China.
基金supported by the First Affiliated Hospital of Xi’an Jiaotong University Teaching Reform Project(Grant No.JG2023-0206 and JG2022-0324).
文摘Objective:In the Radiology Department of Mzuzu Central Hospital(MCH),daily training for radiographers now includes content on Computed Tomography(CT)image quality control and equipment maintenance to ensure the normal,continuous,and stable operation of the 16-slice spiral CT scanner.Methods:Through comprehensive analysis of relevant equipment,we have identified key parameters that significantly impact CT image quality.Innovative optimization strategies and solutions targeting these parameters have been developed and integrated into daily training programs.Furthermore,starting from an examination of prevalent failure modes observed in CT equipment,we delve into essential maintenance and preservation techniques that CT technologists must master to ensure optimal system performance.Results:(1)Crucial factors affecting CT image quality include artifacts,noise,partial volume effects,and surrounding gap phenomena,alongside spatial and density resolutions,CT dose,reconstruction algorithms,and human factors during the scanning process.In the daily training for radiographers,emphasis is placed on strictly implementing image quality control measures at every stage of the CT scanning process and skillfully applying advanced scanning and image processing techniques.By doing so,we can provide clinicians with accurate and reliable imaging references for diagnosis and treatment.(2)Strategies for CT equipment maintenance:①Environmental inspection of the CT room to ensure cleanliness and hygiene.②Rational and accurate operation,including calibration software proficiency.③Regular maintenance and servicing for minimizing machine downtime.④Maintenance of the CT X-ray tube.CT technicians can become proficient in equipment maintenance and upkeep techniques through training,which can significantly extend the service life of CT systems and reduce the occurrence of malfunctions.Conclusion:Through the regular implementation of rigorous CT image quality control training for radiology technicians,coupled with diligent and proactive CT equipment maintenance,we have observed profound and beneficial impacts on improving image quality.The accuracy and fidelity of radiological data ultimately leads to more accurate diagnoses and effective treatments.
文摘In the context of increasing demand for coal mine resources in China’s current socio-economic development,traditional mining methods have been difficult to effectively meet the requirements of safety production and environmental protection.As a result,coal mine filling mining technology has emerged,which can effectively achieve the goal of controlling surface subsidence in practical applications,while also significantly improving the recovery rate of coal resources.Based on this,this study will first elaborate on the characteristics of filling mining technology,and then analyze the key points of the application of supporting technology for mechanical and electrical equipment in the corresponding working face based on actual cases,in order to provide support for improving the efficiency of coal mining.
基金supported by the Marine S&T Fund of Shandong Province for Pilot National Laboratory for Marine Science and Technology(Qingdao)(Grant No.2021QNLM020001)the National Key R&D Program of China(Grant No.2019YFC0605503C)+2 种基金the Major Scientific and Technological Projects of China National Petroleum Corporation(CNPC)(Grant No.ZD2019-183-003)the National Outstanding Youth Science Foundation(Grant No.41922028)the National Innovation Group Project(Grant No.41821002).
文摘Based on waveform fitting,full waveform inversion(FWI)is an important inversion method with the ability to reconstruct multi-parameter models in high precision.However,the strong nonlinear equation used in FWI presents the following challenges,such as low convergence efficiency,high dependence on the initial model,and the energy imbalance in deep region of the inverted model.To solve these inherent problems,we develop a timedomain elastic FWI method based on gradient preconditioning with the following details:(1)the limited memory Broyden Fletcher Goldfarb Shanno method with faster convergence is adopted to im-prove the inversion stability;(2)a multi-scaled inversion strategy is used to alleviate the nonlinear inversion instead of falling into the local minimum;(3)in addition,the pseudo-Hessian preconditioned illumination operator is involved for preconditioning the parameter gradients to improve the illumination equilibrium degree of deep structures.Based on the programming implementation of the new method,a deep depression model with five diffractors is used for testing.Compared with the conventional elastic FWI method,the technique proposed by this study has better effectiveness and accuracy on the inversion effect and con-vergence,respectively.
