Urban geological information platforms have traditionally focused on static data provision for public service,constrained by funding and limited engagement with engineering applications.This study takes Hangzhou-a maj...Urban geological information platforms have traditionally focused on static data provision for public service,constrained by funding and limited engagement with engineering applications.This study takes Hangzhou-a major Chinese megacity-as a model to propose a technically integrated platform that aligns with urban infrastructure development,particularly underground space engineering.Through the adoption of the large-scale relational database system Oracle,we first established a comprehensive storage framework for fundamental urban geological and underground infrastructure information,thereby completed the construction of the core databases.To ensure spatial consistency across multi-source data and to meet the platform’s high computational demands while improving overall server responsiveness,we introduced three critical innovations:voxel-based model encoding,distributed computing,and frontend-backend separation with asynchronous processing.To align with urban engineering projects and enhance economic returns,the platform was initially developed through the integration of foundational geological data,including borehole records and aboveground-underground spatial information.Based on this foundation,its practical application in Hangzhou’s Qiantang New Town further demonstrated the platform’s potential in supporting subway routing,underground structure planning,and engineering cost analysis.Consequently,the construction of the Hangzhou geological information platform not only offers robust support for urban decision-making and smart city development but also provides a replicable model for addressing the technical and institutional challenges commonly encountered in the development of urban geological platforms.展开更多
The management of large-scale architectural engineering projects(e.g.,airports,hospitals)is plagued by information silos,cost overruns,and scheduling delays.While building information modeling(BIM)has improved 3D desi...The management of large-scale architectural engineering projects(e.g.,airports,hospitals)is plagued by information silos,cost overruns,and scheduling delays.While building information modeling(BIM)has improved 3D design coordination,its static nature limits its utility in real-time construction management and operational phases.This paper proposes a novel synergistic framework that integrates the static,deep data of BIM with the dynamic,real-time capabilities of digital twin(DT)technology.The framework establishes a closed-loop data flow from design(BIM)to construction(IoT,drones,BIM 360)to operation(DT platform).We detail the technological stack required,including IoT sensors,cloud computing,and AI-driven analytics.The application of this framework is illustrated through a simulated case study of a mega-terminal airport construction project,demonstrating potential reductions in rework by 15%,improvement in labor productivity by 10%,and enhanced predictive maintenance capabilities.This research contributes to the field of construction engineering by providing a practical model for achieving full lifecycle digitalization and intelligent project management.展开更多
As coal mining progresses to greater depths,controlling the stability of surrounding rock in deep roadways has become an increasingly complex challenge.Although four-dimensional(4D)support theoretically offers unique ...As coal mining progresses to greater depths,controlling the stability of surrounding rock in deep roadways has become an increasingly complex challenge.Although four-dimensional(4D)support theoretically offers unique advantages in maintaining the stability of rock mass,the disaster evolution processes and multi-source information response characteristics in deep roadways with 4D support remain unclear.Consequently,a large-scale physical model testing system and self-designed 4D support components were employed to conduct similarity model tests on the surrounding rock failure process under unsupported(U-1),traditional bolt-mesh-cable support(T-2),and 4D support(4D-R-3)conditions.Combined with multi-source monitoring techniques,including stress–strain,digital image correlation(DIC),acoustic emission(AE),microseismic(MS),parallel electric(PE),and electromagnetic radiation(EMR),the mechanical behavior and multi-source information responses were comprehensively analyzed.The results show that the peak stress and displacement of the models are positively correlated with the support strength.The multi-source information exhibits distinct response characteristics under different supports.The response frequency,energy,and fluctuationsof AE,MS,and EMR signals,along with the apparent resistivity(AR)high-resistivity zone,follow the trend U-1>T-2>4D-R-3.Furthermore,multi-source information exhibits significantdifferences in sensitivity across different phases.The AE,MS,and EMR signals exhibit active responses to rock mass activity at each phase.However,AR signals are only sensitive to the fracture propagation during the plastic yield and failure phases.In summary,the 4D support significantlyenhances the bearing capacity and plastic deformation of the models,while substantially reducing the frequency,energy,and fluctuationsof multi-source signals.展开更多
Dempster-Shafer evidence theory is broadly employed in the research of multi-source information fusion.Nevertheless,when fusing highly conflicting evidence it may pro-duce counterintuitive outcomes.To address this iss...Dempster-Shafer evidence theory is broadly employed in the research of multi-source information fusion.Nevertheless,when fusing highly conflicting evidence it may pro-duce counterintuitive outcomes.To address this issue,a fusion approach based on a newly defined belief exponential diver-gence and Deng entropy is proposed.First,a belief exponential divergence is proposed as the conflict measurement between evidences.Then,the credibility of each evidence is calculated.Afterwards,the Deng entropy is used to calculate information volume to determine the uncertainty of evidence.Then,the weight of evidence is calculated by integrating the credibility and uncertainty of each evidence.Ultimately,initial evidences are amended and fused using Dempster’s rule of combination.The effectiveness of this approach in addressing the fusion of three typical conflict paradoxes is demonstrated by arithmetic exam-ples.Additionally,the proposed approach is applied to aerial tar-get recognition and iris dataset-based classification to validate its efficacy.Results indicate that the proposed approach can enhance the accuracy of target recognition and effectively address the issue of fusing conflicting evidences.展开更多
Life Cycle Cost Analysis (LCCA) provides a systematic approach to assess the total cost associated with owning, operating, and maintaining assets throughout their entire life. BIM empowers architects and designers to ...Life Cycle Cost Analysis (LCCA) provides a systematic approach to assess the total cost associated with owning, operating, and maintaining assets throughout their entire life. BIM empowers architects and designers to perform real-time evaluations to explore various design options. However, when integrated with LCCA, BIM provides a comprehensive economic perspective that helps stakeholders understand the long-term financial implications of design decisions. This study presents a methodology for developing a model that seamlessly integrates BIM and LCCA during the conceptual design stage of buildings. This integration allows for a comprehensive evaluation and analysis of the design process, ensuring that the development aligns with the principles of low carbon emissions by employing modular construction, 3D concrete printing methods, and different building design alternatives. The model considers the initial construction costs in addition to all the long-term operational, maintenance, and salvage values. It combines various tools and data through different modules, including energy analysis, Life Cycle Assessment (LCA), and Life Cycle Cost Analysis (LCCA) to execute a comprehensive assessment of the financial implications of a specific design option throughout the lifecycle of building projects. The development of the said model and its implementation involves the creation of a new plug-in for the BIM tool (i.e., Autodesk Revit) to enhance its functionalities and capabilities in forecasting the life-cycle costs of buildings in addition to generating associated cash flows, creating scenarios, and sensitivity analyses in an automatic manner. This model empowers designers to evaluate and justify their initial investments while designing and selecting potential construction methods for buildings, and enabling stakeholders to make informed decisions by assessing different design alternatives based on long-term financial considerations during the early stages of design.展开更多
Rail transit is considered one of the safest and most efficient modes of transportation.Ticketing,vehicle dispatching,and passenger flow control during rail transit operations in China have been improving over the yea...Rail transit is considered one of the safest and most efficient modes of transportation.Ticketing,vehicle dispatching,and passenger flow control during rail transit operations in China have been improving over the years.Smart city construction and intelligent management models has also been increasingly emphasized with the rapid development of information and internet technology.Therefore,it is essential to conduct relevant research and discussions to improve the overall efficiency and quality of urban rail transit operation and management.This article provides an overview of smart city rail transit operation and management informatization,the principles of construction,and the functions of smart city rail transit operation and management informatization.Additionally,it discusses the strategies for the construction of smart city rail transit operation and management information and its development prospects.展开更多
The idea of a network society was introduced by Western sociologists at the end of the 20th century after in-depth research was conducted from perspectives such as informationalism.Influenced by these developments,the...The idea of a network society was introduced by Western sociologists at the end of the 20th century after in-depth research was conducted from perspectives such as informationalism.Influenced by these developments,the concept of constructing a network society also emerged in China.Over the past 30 years,China has made significant progress and achievements in constructing a network society,both in terms of its fundamental construction and social development.It is important that these advancements be summarized and reviewed.China’s network society construction can be divided into two relatively independent yet interconnected components,based on their focal points:its foundational infrastructure and its social development.These two components of China’s network society are managed by different departments.China has integrated the fundamental construction of its network society with the social development of its network society,thereby achieving unified planning,collaborative advancement,and coordinated development.This approach aims to harmonize two aspects:building China’s cyberspace strength and contributing to Chinese informatization,thereby advancing Chinese modernization.展开更多
For reservoirs with complex non-Gaussian geological characteristics,such as carbonate reservoirs or reservoirs with sedimentary facies distribution,it is difficult to implement history matching directly,especially for...For reservoirs with complex non-Gaussian geological characteristics,such as carbonate reservoirs or reservoirs with sedimentary facies distribution,it is difficult to implement history matching directly,especially for the ensemble-based data assimilation methods.In this paper,we propose a multi-source information fused generative adversarial network(MSIGAN)model,which is used for parameterization of the complex geologies.In MSIGAN,various information such as facies distribution,microseismic,and inter-well connectivity,can be integrated to learn the geological features.And two major generative models in deep learning,variational autoencoder(VAE)and generative adversarial network(GAN)are combined in our model.Then the proposed MSIGAN model is integrated into the ensemble smoother with multiple data assimilation(ESMDA)method to conduct history matching.We tested the proposed method on two reservoir models with fluvial facies.The experimental results show that the proposed MSIGAN model can effectively learn the complex geological features,which can promote the accuracy of history matching.展开更多
This paper addresses the challenge of accurately and timely determining the position of a train,with specific consideration given to the integration of the global navigation satellite system(GNSS)and inertial navigati...This paper addresses the challenge of accurately and timely determining the position of a train,with specific consideration given to the integration of the global navigation satellite system(GNSS)and inertial navigation system(INS).To overcome the increasing errors in the INS during interruptions in GNSS signals,as well as the uncertainty associated with process and measurement noise,a deep learning-based method for train positioning is proposed.This method combines convolutional neural networks(CNN),long short-term memory(LSTM),and the invariant extended Kalman filter(IEKF)to enhance the perception of train positions.It effectively handles GNSS signal interruptions and mitigates the impact of noise.Experimental evaluation and comparisons with existing approaches are provided to illustrate the effectiveness and robustness of the proposed method.展开更多
In order to promote the development of the Internet of Things(IoT),there has been an increase in the coverage of the customer electric information acquisition system(CEIAS).The traditional fault location method for th...In order to promote the development of the Internet of Things(IoT),there has been an increase in the coverage of the customer electric information acquisition system(CEIAS).The traditional fault location method for the distribution network only considers the information reported by the Feeder Terminal Unit(FTU)and the fault tolerance rate is low when the information is omitted or misreported.Therefore,this study considers the influence of the distributed generations(DGs)for the distribution network.This takes the CEIAS as a redundant information source and solves the model by applying a binary particle swarm optimization algorithm(BPSO).The improved Dempster/S-hafer evidence theory(D-S evidence theory)is used for evidence fusion to achieve the fault section location for the distribution network.An example is provided to verify that the proposed method can achieve single or multiple fault locations with a higher fault tolerance.展开更多
With the rapid development of economic construction, constant improvement of economic level of china, all walks of life have technologically conducted in-depth study on related knowledge applied in their own areas. Am...With the rapid development of economic construction, constant improvement of economic level of china, all walks of life have technologically conducted in-depth study on related knowledge applied in their own areas. Among them, the application of relative technology as well as relative requirements in medical industry is also constantly improving. The application of emerging technology not only plays a significant role in the modernization development of hospital, but also is greatly significant on the improvement of medical quality. Therefore the key point of hospital development is how to use network technique to ensure the rapid, stable and safe operation of hospital's daily work. Starting from the information construction of hospital, this paper has made a discussion on the concept and advantages of VPN technology, and an analysis on the specific application of VPN technology in hospital. According to the discourse of the paper, it's possible to provide valuable references and suggestions for the application of VPN technology on the information construction of hospitals.展开更多
On the basis of expounding connotation and significance of expansion of agricultural industrial chain, coupled with the connotation of rural informatization connotation, this article analyses the role of rural informa...On the basis of expounding connotation and significance of expansion of agricultural industrial chain, coupled with the connotation of rural informatization connotation, this article analyses the role of rural informatization in expanding agricultural industrial chain: it can enhance market competitiveness of industry chain, improve the operational efficiency of industry chain, and promote the income and quality of farmers in industry chain. Under the perspective of expanding agricultural industrial chain, this article puts forwards thinking about the construction of rural informatization as follows: first, give full play to the leading role of the government; second, strengthen the construction of information-based network facility; third, integrate information resources in rural areas, and improve the quality of information; fourth, build comprehensive information service platform in rural areas; fifth, improve organizational level of production and management of individual farmers; sixth, strengthen the construction of information-based personnel in rural areas; seventh, strengthen publicity and training, promote overall cultural quality and information awareness of farmers.展开更多
Global concerns toward environmental issues have induced growing demand for new approaches in the construction because of its considerable impact on the environment and use of natural resources. Through using construc...Global concerns toward environmental issues have induced growing demand for new approaches in the construction because of its considerable impact on the environment and use of natural resources. Through using construction sustainability tools, methods and techniques, a greener design can be applied during various building phases. In this connection, it is argued that the analytical and integrated models applied by Building Information Modelling (BIM) may also facilitate this process to be performed more efficiently. BIM and construction sustainability are quite different initiatives, but both have received much attention in recent years in the architecture, engineering and construction (AEC) industry. A rigorous analysis of the interactions between them implies that a synergy exists which, if properly it is understood that can be helpful to reduce the environmental impacts of the AEC industry. A BIM-based design model can contribute to sustainability through its three main dimensions which are environmental, economic and social. In this paper, by reviewing the existing literature on BIM and construction sustainability and using a matrix to analyze construction sustainability dimensions and BIM functionalities a number of interactions have been discussed. It can be concluded that despite there are many improvements in implementation of BIM in environmental and economic aspects of sustainability, its potential impact on social dimension has not been explicitly explored hence further studies need to be undertaken in this area.展开更多
Logistics information construction in colleges and universities is an important part of smart campus. This paper expounds the current situation and existing problems of the logistics information construction in colleg...Logistics information construction in colleges and universities is an important part of smart campus. This paper expounds the current situation and existing problems of the logistics information construction in colleges and universities. Taking China University of Geosciences (Beijing) as an example, this paper discusses the construction principles and Personnel organization structure of the logistics information construction, and provides the construction scheme of the logistics information service platform. It can be used for reference for the implementation of logistics information construction in other colleges and universities.展开更多
The country’s economic development determines the political and cultural status.At the present time,China’s rapid economic development has greatly improved the country’s international prominence.Although China has ...The country’s economic development determines the political and cultural status.At the present time,China’s rapid economic development has greatly improved the country’s international prominence.Although China has high economic and political achievements,China’s cultural soft power is still in a weak position.Cultural soft power is of great significance in improving the country’s overall national strength and international competitiveness.Research organizations are an important part of the country’s soft power and are of great significance to the strengthening of national soft power.Research organizations are the“peripheral brain”in the decision-making process of the government.National government agencies need democratic science in making decisions,and the adopted policy methods must have positive and effective outcomes on the people.Therefore,the national government agencies cannot achieve this without the help of research organizations.This resulted in the development and rising construction of research organizations.With the comprehensive development and construction of research organizations,whilst making progress,has also exposed several shortcomings.The construction of China’s research organizations requires various supports;especially the intelligence agencies and access to library information,which has a unique advantage in promoting the construction of research organizations[1].This paper first introduces the definition,classification and characteristics of a research organization.It will also provide a preliminary understanding of research organizations.The paper will then highlight and analyze the problems encountered by the research organization.Finally,through the grasp of the advantages of the library and intelligence agencies,a solution is proposed.展开更多
More than two decades ago, object-oriented representation of AEC （architecture engineering and construction） projects started to offer the promise of seamless communication of semantic data models between computer-b...More than two decades ago, object-oriented representation of AEC （architecture engineering and construction） projects started to offer the promise of seamless communication of semantic data models between computer-based systems used from the design stage to the operation of the facilities. BIM （building information modelling） emerged and appeared as a means to store all relevant data generated during the life-cycle of the facilities. But this upstream view of the built environment, arising from the design and construction stages, extended to the downstream operations where building and industrial facilities appeared more and more as huge dynamic data producers and concentrators while being operated. This created new challenges leading to what is referred to as ISCs （intelligent and smart constructions）. The current state of the art is that final constructions still contain various and increasingly versatile control and service systems, which are hardly standardised, and not interconnected among themselves. Monitoring, maintenance and services are done by specialised companies, each responsible of different systems, which are relying on customised software and techniques to meet specific user needs and are based on monolithic applications that require manual configuration for specific uses, maintenance and support. We demonstrate in this paper that the early promises of integration across the actors and along the life-time of facilities have gone a long way but will only be delivered through enhanced standardisation of computerized models, representations, services and operations still not yet fully accomplished 25 years after work started.展开更多
Less is known about the role that the information input may play in the acquisition of EMC,as such,the influence of the information input remains to be scrutinized.The present study,via quantitative analysis,aims to m...Less is known about the role that the information input may play in the acquisition of EMC,as such,the influence of the information input remains to be scrutinized.The present study,via quantitative analysis,aims to make a distinctive contribution to exploring this process.Four kinds of information on the six target English middle verbs were adopted:constraints on NP,constraints on AP,examples and all information on EMC.The results show that under the same conditions,examples can meet the demand of user's productive ability in a better way and help improve the production of the EMC.These findings are very informative for second language teaching and provide certain enlightenment for bilingual dictionary compilation.展开更多
For milling tool life prediction and health management,accurate extraction and dimensionality reduction of its tool wear features are the key to reduce prediction errors.In this paper,we adopt multi-source information...For milling tool life prediction and health management,accurate extraction and dimensionality reduction of its tool wear features are the key to reduce prediction errors.In this paper,we adopt multi-source information fusion technology to extract and fuse the features of cutting vibration signal,cutting force signal and acoustic emission signal in time domain,frequency domain and time-frequency domain,and downscale the sample features by Pearson correlation coefficient to construct a sample data set;then we propose a tool life prediction model based on CNN-SVM optimized by genetic algorithm(GA),which uses CNN convolutional neural network as the feature learner and SVM support vector machine as the trainer for regression prediction.The results show that the improved model in this paper can effectively predict the tool life with better generalization ability,faster network fitting,and 99.85%prediction accuracy.And compared with the BP model,CNN model,SVM model and CNN-SVM model,the performance of the coefficient of determination R2 metric improved by 4.88%,2.96%,2.53%and 1.34%,respectively.展开更多
Architectural engineering is one of the traditional engineering in China. With the continuous development of economy and society, information technology is gradually integrated into the field of architectural engineer...Architectural engineering is one of the traditional engineering in China. With the continuous development of economy and society, information technology is gradually integrated into the field of architectural engineering. But on the whole, the application of information technology in engineering management still needs to be improved. As a modern technical tool, information technology provides great convenience for the management of various construction projects. Construction engineering information management for the construction process of information, data collection management and so on has played a huge role.展开更多
The construction technology management is a very important part of the whole building engineering management in content, for the cost of monitoring, is crucial to the safe and effective operation, in order to achieve ...The construction technology management is a very important part of the whole building engineering management in content, for the cost of monitoring, is crucial to the safe and effective operation, in order to achieve such quality standard, the information technology in the construction industry must be effective use, for the rapid development of the industry play an important role. The current traditional construction technology has been improved and upgraded after combining with information technology, which is of great significance for enterprises to effectively reduce costs, improve project quality, shorten cycle and extend the life of buildings. This paper mainly explains the main role of information technology in the field of building construction, to help the rapid development of information technology, and to provide certain reference value in the field of building construction.展开更多
基金supported by the China Geological Survey,Nanjing Center,Zhejiang Geological Survey and China University of Geosciences,Wuhanfunded by the Laboratory of Geological Safety of Underground Space in Coastal Cities,Ministry of Natural Resources(Project No.BHKF2023×01)the China Geological Survey,Nanjing Center(Project No.DD20190281).
文摘Urban geological information platforms have traditionally focused on static data provision for public service,constrained by funding and limited engagement with engineering applications.This study takes Hangzhou-a major Chinese megacity-as a model to propose a technically integrated platform that aligns with urban infrastructure development,particularly underground space engineering.Through the adoption of the large-scale relational database system Oracle,we first established a comprehensive storage framework for fundamental urban geological and underground infrastructure information,thereby completed the construction of the core databases.To ensure spatial consistency across multi-source data and to meet the platform’s high computational demands while improving overall server responsiveness,we introduced three critical innovations:voxel-based model encoding,distributed computing,and frontend-backend separation with asynchronous processing.To align with urban engineering projects and enhance economic returns,the platform was initially developed through the integration of foundational geological data,including borehole records and aboveground-underground spatial information.Based on this foundation,its practical application in Hangzhou’s Qiantang New Town further demonstrated the platform’s potential in supporting subway routing,underground structure planning,and engineering cost analysis.Consequently,the construction of the Hangzhou geological information platform not only offers robust support for urban decision-making and smart city development but also provides a replicable model for addressing the technical and institutional challenges commonly encountered in the development of urban geological platforms.
文摘The management of large-scale architectural engineering projects(e.g.,airports,hospitals)is plagued by information silos,cost overruns,and scheduling delays.While building information modeling(BIM)has improved 3D design coordination,its static nature limits its utility in real-time construction management and operational phases.This paper proposes a novel synergistic framework that integrates the static,deep data of BIM with the dynamic,real-time capabilities of digital twin(DT)technology.The framework establishes a closed-loop data flow from design(BIM)to construction(IoT,drones,BIM 360)to operation(DT platform).We detail the technological stack required,including IoT sensors,cloud computing,and AI-driven analytics.The application of this framework is illustrated through a simulated case study of a mega-terminal airport construction project,demonstrating potential reductions in rework by 15%,improvement in labor productivity by 10%,and enhanced predictive maintenance capabilities.This research contributes to the field of construction engineering by providing a practical model for achieving full lifecycle digitalization and intelligent project management.
基金supported by the National Natural Science Foundation of China(Grant Nos.U22A20598 and 52104107)the"Qinglan Project"of Jiangsu Colleges and Universities,Young Elite Scientists Sponsorship Program of Jiangsu Province(Grant No.TJ-2023-086).
文摘As coal mining progresses to greater depths,controlling the stability of surrounding rock in deep roadways has become an increasingly complex challenge.Although four-dimensional(4D)support theoretically offers unique advantages in maintaining the stability of rock mass,the disaster evolution processes and multi-source information response characteristics in deep roadways with 4D support remain unclear.Consequently,a large-scale physical model testing system and self-designed 4D support components were employed to conduct similarity model tests on the surrounding rock failure process under unsupported(U-1),traditional bolt-mesh-cable support(T-2),and 4D support(4D-R-3)conditions.Combined with multi-source monitoring techniques,including stress–strain,digital image correlation(DIC),acoustic emission(AE),microseismic(MS),parallel electric(PE),and electromagnetic radiation(EMR),the mechanical behavior and multi-source information responses were comprehensively analyzed.The results show that the peak stress and displacement of the models are positively correlated with the support strength.The multi-source information exhibits distinct response characteristics under different supports.The response frequency,energy,and fluctuationsof AE,MS,and EMR signals,along with the apparent resistivity(AR)high-resistivity zone,follow the trend U-1>T-2>4D-R-3.Furthermore,multi-source information exhibits significantdifferences in sensitivity across different phases.The AE,MS,and EMR signals exhibit active responses to rock mass activity at each phase.However,AR signals are only sensitive to the fracture propagation during the plastic yield and failure phases.In summary,the 4D support significantlyenhances the bearing capacity and plastic deformation of the models,while substantially reducing the frequency,energy,and fluctuationsof multi-source signals.
基金supported by the National Natural Science Foundation of China(61903305,62073267)the Fundamental Research Funds for the Central Universities(HXGJXM202214).
文摘Dempster-Shafer evidence theory is broadly employed in the research of multi-source information fusion.Nevertheless,when fusing highly conflicting evidence it may pro-duce counterintuitive outcomes.To address this issue,a fusion approach based on a newly defined belief exponential diver-gence and Deng entropy is proposed.First,a belief exponential divergence is proposed as the conflict measurement between evidences.Then,the credibility of each evidence is calculated.Afterwards,the Deng entropy is used to calculate information volume to determine the uncertainty of evidence.Then,the weight of evidence is calculated by integrating the credibility and uncertainty of each evidence.Ultimately,initial evidences are amended and fused using Dempster’s rule of combination.The effectiveness of this approach in addressing the fusion of three typical conflict paradoxes is demonstrated by arithmetic exam-ples.Additionally,the proposed approach is applied to aerial tar-get recognition and iris dataset-based classification to validate its efficacy.Results indicate that the proposed approach can enhance the accuracy of target recognition and effectively address the issue of fusing conflicting evidences.
文摘Life Cycle Cost Analysis (LCCA) provides a systematic approach to assess the total cost associated with owning, operating, and maintaining assets throughout their entire life. BIM empowers architects and designers to perform real-time evaluations to explore various design options. However, when integrated with LCCA, BIM provides a comprehensive economic perspective that helps stakeholders understand the long-term financial implications of design decisions. This study presents a methodology for developing a model that seamlessly integrates BIM and LCCA during the conceptual design stage of buildings. This integration allows for a comprehensive evaluation and analysis of the design process, ensuring that the development aligns with the principles of low carbon emissions by employing modular construction, 3D concrete printing methods, and different building design alternatives. The model considers the initial construction costs in addition to all the long-term operational, maintenance, and salvage values. It combines various tools and data through different modules, including energy analysis, Life Cycle Assessment (LCA), and Life Cycle Cost Analysis (LCCA) to execute a comprehensive assessment of the financial implications of a specific design option throughout the lifecycle of building projects. The development of the said model and its implementation involves the creation of a new plug-in for the BIM tool (i.e., Autodesk Revit) to enhance its functionalities and capabilities in forecasting the life-cycle costs of buildings in addition to generating associated cash flows, creating scenarios, and sensitivity analyses in an automatic manner. This model empowers designers to evaluate and justify their initial investments while designing and selecting potential construction methods for buildings, and enabling stakeholders to make informed decisions by assessing different design alternatives based on long-term financial considerations during the early stages of design.
文摘Rail transit is considered one of the safest and most efficient modes of transportation.Ticketing,vehicle dispatching,and passenger flow control during rail transit operations in China have been improving over the years.Smart city construction and intelligent management models has also been increasingly emphasized with the rapid development of information and internet technology.Therefore,it is essential to conduct relevant research and discussions to improve the overall efficiency and quality of urban rail transit operation and management.This article provides an overview of smart city rail transit operation and management informatization,the principles of construction,and the functions of smart city rail transit operation and management informatization.Additionally,it discusses the strategies for the construction of smart city rail transit operation and management information and its development prospects.
基金“Research on Social Change and Network Society Planning in the Internet of Everything Era”(ID:21BSH005),a project under the National Social Science Fund of China
文摘The idea of a network society was introduced by Western sociologists at the end of the 20th century after in-depth research was conducted from perspectives such as informationalism.Influenced by these developments,the concept of constructing a network society also emerged in China.Over the past 30 years,China has made significant progress and achievements in constructing a network society,both in terms of its fundamental construction and social development.It is important that these advancements be summarized and reviewed.China’s network society construction can be divided into two relatively independent yet interconnected components,based on their focal points:its foundational infrastructure and its social development.These two components of China’s network society are managed by different departments.China has integrated the fundamental construction of its network society with the social development of its network society,thereby achieving unified planning,collaborative advancement,and coordinated development.This approach aims to harmonize two aspects:building China’s cyberspace strength and contributing to Chinese informatization,thereby advancing Chinese modernization.
基金supported by the National Natural Science Foundation of China under Grant 51722406,52074340,and 51874335the Shandong Provincial Natural Science Foundation under Grant JQ201808+5 种基金The Fundamental Research Funds for the Central Universities under Grant 18CX02097Athe Major Scientific and Technological Projects of CNPC under Grant ZD2019-183-008the Science and Technology Support Plan for Youth Innovation of University in Shandong Province under Grant 2019KJH002the National Research Council of Science and Technology Major Project of China under Grant 2016ZX05025001-006111 Project under Grant B08028Sinopec Science and Technology Project under Grant P20050-1
文摘For reservoirs with complex non-Gaussian geological characteristics,such as carbonate reservoirs or reservoirs with sedimentary facies distribution,it is difficult to implement history matching directly,especially for the ensemble-based data assimilation methods.In this paper,we propose a multi-source information fused generative adversarial network(MSIGAN)model,which is used for parameterization of the complex geologies.In MSIGAN,various information such as facies distribution,microseismic,and inter-well connectivity,can be integrated to learn the geological features.And two major generative models in deep learning,variational autoencoder(VAE)and generative adversarial network(GAN)are combined in our model.Then the proposed MSIGAN model is integrated into the ensemble smoother with multiple data assimilation(ESMDA)method to conduct history matching.We tested the proposed method on two reservoir models with fluvial facies.The experimental results show that the proposed MSIGAN model can effectively learn the complex geological features,which can promote the accuracy of history matching.
基金supported by the National Natural Science Foundation of China(Nos.61925302,62273027)the Beijing Natural Science Foundation(L211021).
文摘This paper addresses the challenge of accurately and timely determining the position of a train,with specific consideration given to the integration of the global navigation satellite system(GNSS)and inertial navigation system(INS).To overcome the increasing errors in the INS during interruptions in GNSS signals,as well as the uncertainty associated with process and measurement noise,a deep learning-based method for train positioning is proposed.This method combines convolutional neural networks(CNN),long short-term memory(LSTM),and the invariant extended Kalman filter(IEKF)to enhance the perception of train positions.It effectively handles GNSS signal interruptions and mitigates the impact of noise.Experimental evaluation and comparisons with existing approaches are provided to illustrate the effectiveness and robustness of the proposed method.
基金supported by the Science and Technology Project of State Grid Shandong Electric Power Company?“Research on the Data-Driven Method for Energy Internet”?(Project No.2018A-100)。
文摘In order to promote the development of the Internet of Things(IoT),there has been an increase in the coverage of the customer electric information acquisition system(CEIAS).The traditional fault location method for the distribution network only considers the information reported by the Feeder Terminal Unit(FTU)and the fault tolerance rate is low when the information is omitted or misreported.Therefore,this study considers the influence of the distributed generations(DGs)for the distribution network.This takes the CEIAS as a redundant information source and solves the model by applying a binary particle swarm optimization algorithm(BPSO).The improved Dempster/S-hafer evidence theory(D-S evidence theory)is used for evidence fusion to achieve the fault section location for the distribution network.An example is provided to verify that the proposed method can achieve single or multiple fault locations with a higher fault tolerance.
文摘With the rapid development of economic construction, constant improvement of economic level of china, all walks of life have technologically conducted in-depth study on related knowledge applied in their own areas. Among them, the application of relative technology as well as relative requirements in medical industry is also constantly improving. The application of emerging technology not only plays a significant role in the modernization development of hospital, but also is greatly significant on the improvement of medical quality. Therefore the key point of hospital development is how to use network technique to ensure the rapid, stable and safe operation of hospital's daily work. Starting from the information construction of hospital, this paper has made a discussion on the concept and advantages of VPN technology, and an analysis on the specific application of VPN technology in hospital. According to the discourse of the paper, it's possible to provide valuable references and suggestions for the application of VPN technology on the information construction of hospitals.
文摘On the basis of expounding connotation and significance of expansion of agricultural industrial chain, coupled with the connotation of rural informatization connotation, this article analyses the role of rural informatization in expanding agricultural industrial chain: it can enhance market competitiveness of industry chain, improve the operational efficiency of industry chain, and promote the income and quality of farmers in industry chain. Under the perspective of expanding agricultural industrial chain, this article puts forwards thinking about the construction of rural informatization as follows: first, give full play to the leading role of the government; second, strengthen the construction of information-based network facility; third, integrate information resources in rural areas, and improve the quality of information; fourth, build comprehensive information service platform in rural areas; fifth, improve organizational level of production and management of individual farmers; sixth, strengthen the construction of information-based personnel in rural areas; seventh, strengthen publicity and training, promote overall cultural quality and information awareness of farmers.
文摘Global concerns toward environmental issues have induced growing demand for new approaches in the construction because of its considerable impact on the environment and use of natural resources. Through using construction sustainability tools, methods and techniques, a greener design can be applied during various building phases. In this connection, it is argued that the analytical and integrated models applied by Building Information Modelling (BIM) may also facilitate this process to be performed more efficiently. BIM and construction sustainability are quite different initiatives, but both have received much attention in recent years in the architecture, engineering and construction (AEC) industry. A rigorous analysis of the interactions between them implies that a synergy exists which, if properly it is understood that can be helpful to reduce the environmental impacts of the AEC industry. A BIM-based design model can contribute to sustainability through its three main dimensions which are environmental, economic and social. In this paper, by reviewing the existing literature on BIM and construction sustainability and using a matrix to analyze construction sustainability dimensions and BIM functionalities a number of interactions have been discussed. It can be concluded that despite there are many improvements in implementation of BIM in environmental and economic aspects of sustainability, its potential impact on social dimension has not been explicitly explored hence further studies need to be undertaken in this area.
文摘Logistics information construction in colleges and universities is an important part of smart campus. This paper expounds the current situation and existing problems of the logistics information construction in colleges and universities. Taking China University of Geosciences (Beijing) as an example, this paper discusses the construction principles and Personnel organization structure of the logistics information construction, and provides the construction scheme of the logistics information service platform. It can be used for reference for the implementation of logistics information construction in other colleges and universities.
文摘The country’s economic development determines the political and cultural status.At the present time,China’s rapid economic development has greatly improved the country’s international prominence.Although China has high economic and political achievements,China’s cultural soft power is still in a weak position.Cultural soft power is of great significance in improving the country’s overall national strength and international competitiveness.Research organizations are an important part of the country’s soft power and are of great significance to the strengthening of national soft power.Research organizations are the“peripheral brain”in the decision-making process of the government.National government agencies need democratic science in making decisions,and the adopted policy methods must have positive and effective outcomes on the people.Therefore,the national government agencies cannot achieve this without the help of research organizations.This resulted in the development and rising construction of research organizations.With the comprehensive development and construction of research organizations,whilst making progress,has also exposed several shortcomings.The construction of China’s research organizations requires various supports;especially the intelligence agencies and access to library information,which has a unique advantage in promoting the construction of research organizations[1].This paper first introduces the definition,classification and characteristics of a research organization.It will also provide a preliminary understanding of research organizations.The paper will then highlight and analyze the problems encountered by the research organization.Finally,through the grasp of the advantages of the library and intelligence agencies,a solution is proposed.
文摘More than two decades ago, object-oriented representation of AEC （architecture engineering and construction） projects started to offer the promise of seamless communication of semantic data models between computer-based systems used from the design stage to the operation of the facilities. BIM （building information modelling） emerged and appeared as a means to store all relevant data generated during the life-cycle of the facilities. But this upstream view of the built environment, arising from the design and construction stages, extended to the downstream operations where building and industrial facilities appeared more and more as huge dynamic data producers and concentrators while being operated. This created new challenges leading to what is referred to as ISCs （intelligent and smart constructions）. The current state of the art is that final constructions still contain various and increasingly versatile control and service systems, which are hardly standardised, and not interconnected among themselves. Monitoring, maintenance and services are done by specialised companies, each responsible of different systems, which are relying on customised software and techniques to meet specific user needs and are based on monolithic applications that require manual configuration for specific uses, maintenance and support. We demonstrate in this paper that the early promises of integration across the actors and along the life-time of facilities have gone a long way but will only be delivered through enhanced standardisation of computerized models, representations, services and operations still not yet fully accomplished 25 years after work started.
文摘Less is known about the role that the information input may play in the acquisition of EMC,as such,the influence of the information input remains to be scrutinized.The present study,via quantitative analysis,aims to make a distinctive contribution to exploring this process.Four kinds of information on the six target English middle verbs were adopted:constraints on NP,constraints on AP,examples and all information on EMC.The results show that under the same conditions,examples can meet the demand of user's productive ability in a better way and help improve the production of the EMC.These findings are very informative for second language teaching and provide certain enlightenment for bilingual dictionary compilation.
基金financed with the means of Basic Scientific Research Youth Program of Education Department of Liaoning Province,No.LJKQZ2021185Yingkou Enterprise and Doctor Innovation Program (QB-2021-05).
文摘For milling tool life prediction and health management,accurate extraction and dimensionality reduction of its tool wear features are the key to reduce prediction errors.In this paper,we adopt multi-source information fusion technology to extract and fuse the features of cutting vibration signal,cutting force signal and acoustic emission signal in time domain,frequency domain and time-frequency domain,and downscale the sample features by Pearson correlation coefficient to construct a sample data set;then we propose a tool life prediction model based on CNN-SVM optimized by genetic algorithm(GA),which uses CNN convolutional neural network as the feature learner and SVM support vector machine as the trainer for regression prediction.The results show that the improved model in this paper can effectively predict the tool life with better generalization ability,faster network fitting,and 99.85%prediction accuracy.And compared with the BP model,CNN model,SVM model and CNN-SVM model,the performance of the coefficient of determination R2 metric improved by 4.88%,2.96%,2.53%and 1.34%,respectively.
文摘Architectural engineering is one of the traditional engineering in China. With the continuous development of economy and society, information technology is gradually integrated into the field of architectural engineering. But on the whole, the application of information technology in engineering management still needs to be improved. As a modern technical tool, information technology provides great convenience for the management of various construction projects. Construction engineering information management for the construction process of information, data collection management and so on has played a huge role.
文摘The construction technology management is a very important part of the whole building engineering management in content, for the cost of monitoring, is crucial to the safe and effective operation, in order to achieve such quality standard, the information technology in the construction industry must be effective use, for the rapid development of the industry play an important role. The current traditional construction technology has been improved and upgraded after combining with information technology, which is of great significance for enterprises to effectively reduce costs, improve project quality, shorten cycle and extend the life of buildings. This paper mainly explains the main role of information technology in the field of building construction, to help the rapid development of information technology, and to provide certain reference value in the field of building construction.
