Analysis of Intelligent Construction Technology of Building Prefabricated Components Based on BIM

In this paper,the intelligent construction of prefabricated components is analyzed based on building information modeling(BIM).It includes an overview of BIM-based prefabricated components and intelligent construction,intelligent production lines in BIM-based intelligent construction systems,and analysis of the application of intelligent manufacturing in BIM-based prefabricated components.It was found that the determination of construction goals,the establishment of intelligent construction systems,and the application of intelligent construction systems are all areas that need to be emphasized in producing prefabricated building components through intelligent construction.It is hoped that this analysis can provide some reference for the application of intelligent construction and the improvement of the quality of prefabricated building components.

Research on the Application of Intelligent Construction Technology in Hangzhouxi Railway Station

Relying on the construction management of Hangzhouxi Railway Station,this paper analyses the comprehensive application of intelligent construction technology and the establishment of the common data environment(CDE)by using BIM technology.This paper gives the idea that such issues are deeply explored as large-span curved surface structure improvement,steel structure construction monitoring,special-shaped ticket check canopy construction,prefabricated machine room construction,grid construction management,etc.so as to form an intelligent construction management system based on BIM technology.The system has achieved good application results in economic benefits,social benefits and environmental benefits,which can promote the gradual transformation to a more digitalized,networked and intelligent Hangzhouxi Railway Station,and lay a solid foundation for achieving the construction goals of controllable construction period,excellent quality,green and low carbon,etc.

Key Technology and Complete-set Equipment for Intelligent Construction of HSR Simply-supported Girder Reinforcement Framework

In view of the problems such as backward production mode,poor quality stability,high safety risk and incomplete control system during erection of the reinforcement framework of simply-supported box girders for high-speed railway(HSR),and in combination with the key points and main challenges in the reinforcement framework construction of Guangzhou-Zhanjiang HSR,the overall technical route for the intelligent manufacturing of reinforcement framework of simply-supported box girders is put forward.The component design of reinforcement framework of simply supported box girder is carried out based on BIM,and the feasibility of the scheme is verified through segment assembly test.The assembly techniques are studied in combination with the mesh design scheme to achieve rapid forming of the reinforcement framework.R&D of automatic processing equipment for components,material transshipment equipment,automatic hoisting equipment and technological equipment for assembly clamping fixture are carried out to realize the overall design of equipment production line.An intelligent control system is developed for the whole-process intelligent construction of reinforcement framework to realize the full life-cycle applications for the workshop production and visual management including intelligent layout and quality traceability.The research results systematically optimize and innovate the assembly and forming technologies of reinforcement framework in the prefabrication beam yard of high-speed railway,realize the component processing,automatic assembly and information technology management,improve the construction quality,efficiency and information technology level of intelligent manufacturing of reinforcement framework of railway prefabricated beam as a whole,and reduce the construction cost of the project.The research has realized a major breakthrough in the construction technology of railway prefabricated box girders,which has the extensive technical and market promotion values.

Research on Developing BIM Intelligent Construction Programs Based on Application- Oriented Talent Cultivation

Cultivating application-oriented talents have become essential in vocational and higher education.This concept also applies to BIM intelligent construction programs.Based on literature review and general observations,we analyzed the connotation,key points,and value of developing a BIM intelligent construction program based on application-oriented talent cultivation.We also identified problems in the development of the program such as lack of comprehensive planning and the school being the sole authority in program development.Therefore,we proposed several strategies to address these problems,including systematic program development planning and fostering a multi-faceted partnership between schools and the industry.The goal is to provide valuable insights for the development of relevant programs in the new era.

The pioneer of intelligent construction—An overview of the development of intelligent compaction

As the pioneer in the intelligent construction technologies(ICT)of transportation infrastructure,intelligent compaction(IC)has been applied in the infrastructure construction of various countries.It is currently the technology that best reflects the intelligence of engineering construction.This article overviews the latest developments and trends in IC.Firstly,the basic meaning of ICT is defined based on the essential characteristics of intelligent construction of transportation infrastructure,“perception,analysis,decision-making,execution”(PADE).The concept of intelligent compaction technology classification is also introduced.The PADE requirements that intelligent compaction should meet are proposed.Secondly,according to the sequence of“perception,analysis,decision-making,execution,”the workflow and key technologies of intelligent compaction are analyzed,and the mechanism of using the response of the roller to solve the modulus is given and verified.On this basis,The IC feasibility test methods,including compaction degree,compaction stability,and compaction uniformity,are briefly described.The implementation scheme of feedback control is given.Then,the use of artificial neural networks(ANN),hybrid expert systems,and reinforcement learning in intelligent compaction are briefly introduced.Finally,several extended applications of intelligent compaction are expounded,including the development ideas of intelligent road rollers and the role of intelligent compaction in virtual construction,the layer-specific mechanical parameters of fillers,etc.

Digital Twin-Driven Intelligent Construction:Features and Trends

Digital twin(DT)can achieve real-time information fusion and interactive feedback between virtual space and physical space.This technology involves a digital model,real-time information management,comprehensive intelligent perception networks,etc.,and it can drive the rapid conceptual development of intelligent construction(IC)such as smart factories,smart cities,and smart medical care.Nevertheless,the actual use of DT in IC is partially pending,with numerous scientific factors still not clarified.An overall survey on pending issues and unsolved scientific factors is needed for the development of DT-driven IC.To this end,this study aims to provide a comprehensive review of the state of the art and state of the use of DT-driven IC.The use of DT in planning,design,manufacturing,operation,and maintenance management of IC is demonstrated and analyzed,following which the driving functions of DT in IC are detailed from four aspects:information perception and analysis,data mining and modeling,state assessment and prediction,intelligent optimization and decision-making.Furthermore,the future direction of research,using DT in IC,is presented with some comments and suggestions.This work will help researchers gain in-depth and systematic understanding of the use of DT,and help practitioners to better promote its implementation in IC.

Enlightenment of Intelligent Construction in the Construction of First-Class University Campus

In September 2017,the Ministry of Education,Ministry of Finance,and the National Development and Reform Commission jointly announced the first batch of“double first-class”construction universities,aiming to improve China’s education level and strengthen the country’s core competitiveness.In addition to first-class teaching and first-class scientific research,first-class universities should also have first-class campuses.The campus of a first-class university should have a complete range of infrastructure,scale,and function to meet the requirements of school-running and scientific research;it should also advocate sustainable development,which includes the concept of energy-saving,smart,and green.The traditional production methods and management models of the construction industry are far from being able to meet the needs of the construction and development of first-class campuses.Digital,intelligent,and informatized construction models are the only way for current campus construction.

Analysis on Reformation of Digital Management Education of Prefabricated Construction Project Under the Background of Intelligent Construction

Prefabricated building is an important building development mode at present.It can improve the development speed and production efficiency of the construction industry,reduce the labor intensity of construction,play an important role in the development as well as the modernization of the construction industry.Due to the late development of prefabricated buildings,the talent training of prefabricated buildings lags behind,causing the development of prefabricated buildings to not achieve its required target.Therefore,the characteristics of intelligent construction need to be incorporated,the education of prefabricated buildings needs to be reformed,the education regarding digital management of prefabricated buildings should be improved,and more professional talents should be nurtured.

Intelligent construction technology of railway engineering in China

Intelligent construction technology has been widely used in the field of railway engineering.This work first analyzes the connotation,function,and characteristics of intelligent construction of railway engineering(ICRE)and establishes its system structure from three dimensions,namely,life cycle,layers of management,and intelligent function,to deeply understand the development situation of intelligent railway construction in China.Second,seven key technical support systems of ICRE,which include building information modeling(BIM)standard system for China’s railway sector,technology management platform and life cycle management based on BIM-hGIS(geography information system),ubiquitous intelligent perception system,intelligent Intemet-of-Things(IoT)communication system based on mobile interconnection,construction management platform based on cloud computing and big data,unmanned operation system based on artificial intelligence,intelligent machinery and robot,and intelligent operation and maintenance system based on BIM and PHM(prediction and health management),are established.Third,ICRE is divided into three development stages:primary(perception),intermediate(substitution),and advanced(intelligence).The evaluation index system of each stage is provided from the aspects of technology and function.Finally,this work summarizes and analyzes the application situation of ICRE in the entire railway sector of China,represented by Beijing-Zhangjiakou and Beijing-Xiong’an high-speed railways.Result shows that the technical support systems of the ICRE have emerged in China and are still in the process of deepening basic technology research and preliminary application.In the future,the ICRE of China’s railway sector will develop toward a higher stage.

Typologies of Intelligent Facades in Efficient Buildings

The production of efficient building models promotes the search for intelligent technologies,capable of making the car building sufficient,from an energy point of view,to improve the comfort and well-being of the occupants,while respecting the environment and the planet.So they need new building processes that increase market demand,enhancing the use of alternative sources in which construction becomes the focus of productivity.The objectives are those of energy self-sufficient buildings,with passive use of the roofs,in which the different materials and systems optimize the efficiency and effectiveness of the energy and technological systems,with an innovative constructive integrated design approach,for the new,for the redevelopment and recovery of the building,also according to European regulations including UNI EN 13830:2015 and other worldwide ones.The criteria are distinguished according to the needs of the occupants,for the use of energy self-sufficient environments,security,with air quality,living comfort,cost reduction and increased productivity of the real estate sector.The methodologies point to a new conscious and shared model for the use of innovative construction technologies,with BIM(Building Information Modeling)design and MEP(Mechanical,Electrical and Plumbing)systems,which aim at digitization with pre-planning and intelligent management in construction,and smart BMS(Building Management Systems)systems in the BA(Building Automation).So they use typologies of intelligent facades in efficient buildings,unitized curtain walling system,structural glass facades,suspended curtain-walls,etc.,with double and triple skin glazed systems,LED glass,with solar screens,etc.Therefore,high performance in passive systems,for natural lighting and ventilation,etc.is distinguished in envelopes in operation the solar incidence and solar carving techniques.The challenge is the well-being of the occupants in the use of innovative technologies for types of intelligent facades,in passive and efficient,low-carbon enclosures that interact with the user and the context,with a view to the durability of the systems,energy saving and some materials.

Key technical innovations in the construction of Baihetan Hydropower Station Project

1 Project positioning Baihetan Hydropower Station is classified as the second of the four hydropower cascades in the lower reaches of the Jinsha River:Wudongde,Baihetan,Xiluodu and Xiangjiaba.As an important backbone project for China to implement the strategy of West-to-East Power Transmission and optimize the energy structure,it constitutes an important part of the Yangtze River flood control system.Located at the junction of Ningnan County,Sichuan Province and Qiaojia County,Yunnan Province,the hydropower station is the largest hydropower project under construction in the world,with a unit capacity of million-kilowatts ranking the highest in the world and a total installed capacity of 16 million kW,second only to the Three Gorges Project,ranking the second in the world.

Urban Big Data and the Development of City Intelligence

This study provides a definition for urban big data while exploring its features and applications of Chi- na＇s city intelligence. The differences between city intelligence in China and the ＂smart city＂ concept in other countries are compared to highlight and contrast the unique definition and model for China＇s city intelligence in this paper. Furthermore, this paper examines the role of urban big data in city intel- ligence by showing that it not only serves as the cornerstone of this trend as it also plays a core role in the diffusion of city intelligence technology and serves as an inexhaustible resource for the sustained development of city intelligence. This study also points out the challenges of shaping and developing of China＇s urban big data. Considering the supporting and core role that urban big data plays in city intel- ligence, the study then expounds on the key points of urban big data, including infrastructure support, urban governance, public services, and economic and industrial development. Finally, this study points out that the utility of city intelligence as an ideal policy tool for advancing the goals of China＇s urban de- velopment. In conclusion, it is imperative that China make full use of its unique advantages-including using the nation＇s current state of development and resources, geographical advantages, and good hu- man relations-in subjective and objective conditions to promote the development of city intelligence through the proper application of urban big data.

Smart construction site in mega construction projects: A case study on island tunneling project of Hong Kong-Zhuhai-Macao Bridge

The construction sites of mega construction projects(MCP) often have numerous participants with interfacing work within a highly complex system. It is critical how to realize collaborative work and information sharing among such participants. The information and communication technologies(ICTs) provides a technical guarantee for solving this problem. Existing research has been achieved the partial processes digitization of construction site, but certain problems still exist: 1)information perception of the construction site is passive.2) common collaboration and coordination problems in the construction industry have not been addressed. The emerging trends of ICTs have resulted in the integration of various computer technologies such as CPS, BIM, big data, and cloud computing into construction process,which would changes behavioral and management mode of construction sites. These new ICTs have been applied successfully in MCP, in particular, Hong Kong-ZhuhaiMacao Bridge project. A new management mode of construction sites is inspired by these case. In this paper, a new management mode of construction site for MCP has been proposed, namely, smart construction site. The ultimate goal of smart construction site is to accomplish safe, efficient and high-quality construction. This study put forward the conceptual framework for smart construction site, and have identified three key elements of smart construction site, including information support platform,collaboration work, and intelligent construction management. A case study on Hong Kong-Zhuhai-Macao Bridge project work as an evidence to support the practicability of the proposed mode. Significant contributions of this study is to propose a new management mode for MCP in construction industry, which would enrich the body of knowledge or the construction management community.Future research should be dedicated to further explore the potential of smart construction site in MCP management.

Technology improvements and management innovations in construction of Xiluodu hydropower station on Jinsha River

Developer and owner:China Three Gorges Corporation(CTG)Engineering management:China Three Gorges Projects Development Corporation(CTGPC)Designer:Chengdu Engineering Corporation Co.,Ltd.,Power

Potentials for Radio Frequency Identification in AEC/FM

Radio frequency identification (RFID) technology has proved to be very effective in industries as diverse as aircraft manufacturing to health and care. The construction industry has been slow to take up on RFID and this paper will discuss the merits of the technology in its potential for application within the construction sector. The paper reports about the prototypical implementation of RFID-based information management in FM-scenarios. The prototypes were tested at University College Cork (UCC). The general applicability of RFID for decentralised information management could be demonstrated.

Compressive strength prediction of sprayed concrete lining in tunnel engineering using hybrid machine learning techniques

Sprayed concrete lining is a commonly employed support measure in tunnel engineering,which plays an important role in construction safety.Compressive strength is a key performance indicator of sprayed concrete lining,and the traditional measuring method is time-consuming and laborious.This paper proposes various hybrid machine learning algorithms to accomplish the advanced prediction of compressive strength of sprayed concrete lining based on the mixture design.Two hundred and five sets of experimental data were collected from a water conveyance tunnel in northwestern China for model construction,and each set of data was made up of six basic input variables(i.e.,water,cement,mineral powder,superplasticizer,coarse aggregate,and fine aggregate)and one output variable(i.e.,compressive strength).In order to eliminate the correlation between input variables,a new composite indicator(i.e.,the water-binder ratio)was introduced to achieve dimensionality reduction.After that,four hybrid models in total were built,namely BPNN-QPSO,SVR-QPSO,ELM-QPSO,and RF-QPSO,where the hyper-parameters of BPNN,SVR,ELM,and RF were auto-tuned by QPSO.Engineering application results indicated that RF-QPSO achieved the lowest mean absolute percentage error(MAPE)of 3.47% and root mean square error(RMSE)of 1.30 and the highest determination coefficient(R^(2))of 0.93 in the four hybrid models.Moreover,RFQPSO had the shortest running time of 0.15 s,followed by SVR-QPSO(0.18 s),ELM-QPSO(1.19 s),and BPNN-QPSO(1.58 s).Compared with BPNN-QPSO,SVR-QPSO,and ELM-QPSO,RF-QPSO performed the most superior performance in terms of both prediction accuracy and running speed.Finally,the importance of input variables on the model performance was quantitatively evaluated,further enhancing the interpretability of RF-QPSO.