Automation and Robotics in the Architecture, Engineering, and Construction Industry
Automation and Robotics in the Architecture, Engineering, and Construction Industry

Author: Houtan Jebelli

Publisher: Springer Nature

Published: 2022-01-03

Total Pages: 229

ISBN-13: 3030771636

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Automation and Robotics in the Architecture, Engineering, and Construction Industry provides distinct and unified insight into current and future construction robotics, offering readers a comprehensive perspective for constructing a road map and illuminating improvements for a successful transition towards construction robotization. The book covers the fundamentals and applications of robotics, autonomous vehicles, and human-perceptive machines at construction sites. Through theoretical and experimental analyses, it examines the potential of robotics and automated systems for current and future fieldwork operations and identifies the factors that determine their implementation pace, adoption scale, and ubiquity throughout the industry. The book evaluates the technical, societal, and economic aspects of adopting robots in construction, both as standalone and collaborative systems, which in return can afford the opportunity to investigate these AI-enabled machines more systematically.

Post-Parametric Automation in Design and Construction
Post-Parametric Automation in Design and Construction

Author: Alfredo Andia

Publisher: Artech House

Published: 2014-11-01

Total Pages: 235

ISBN-13: 1608076946

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Automation, a mixture of algorithms, robots, software, and avatars, is transforming all types of jobs and industries. This book responds to one critical question for the design and construction industry: “how are architects, engineers, and contractors using information technology to further automate their practices?” Addressing the use of new digital technologies, particularly parametric automation for design and construction in the building industry, this book looks at how technologically advanced architectural and engineering practices are semi-automating their design processes by using sophisticated algorithms to transform their workflows. The book also documents a set of firms that are further advancing automation by using pre-fabrication, modularization, and custom designs via robotics.

Artificial Intelligence in Construction Engineering and Management
Artificial Intelligence in Construction Engineering and Management

Author: Limao Zhang

Publisher: Springer Nature

Published: 2021-06-18

Total Pages: 271

ISBN-13: 9811628424

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This book highlights the latest technologies and applications of Artificial Intelligence (AI) in the domain of construction engineering and management. The construction industry worldwide has been a late bloomer to adopting digital technology, where construction projects are predominantly managed with a heavy reliance on the knowledge and experience of construction professionals. AI works by combining large amounts of data with fast, iterative processing, and intelligent algorithms (e.g., neural networks, process mining, and deep learning), allowing the computer to learn automatically from patterns or features in the data. It provides a wide range of solutions to address many challenging construction problems, such as knowledge discovery, risk estimates, root cause analysis, damage assessment and prediction, and defect detection. A tremendous transformation has taken place in the past years with the emerging applications of AI. This enables industrial participants to operate projects more efficiently and safely, not only increasing the automation and productivity in construction but also enhancing the competitiveness globally.

Construction 4.0
Construction 4.0

Author: Anil Sawhney

Publisher: Routledge

Published: 2020-02-06

Total Pages: 527

ISBN-13: 0429675119

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Modelled on the concept of Industry 4.0, the idea of Construction 4.0 is based on a confluence of trends and technologies that promise to reshape the way built environment assets are designed, constructed, and operated. With the pervasive use of Building Information Modelling (BIM), lean principles, digital technologies, and offsite construction, the industry is at the cusp of this transformation. The critical challenge is the fragmented state of teaching, research, and professional practice in the built environment sector. This handbook aims to overcome this fragmentation by describing Construction 4.0 in the context of its current state, emerging trends and technologies, and the people and process issues that surround the coming transformation. Construction 4.0 is a framework that is a confluence and convergence of the following broad themes discussed in this book: Industrial production (prefabrication, 3D printing and assembly, offsite manufacture) Cyber-physical systems (actuators, sensors, IoT, robots, cobots, drones) Digital and computing technologies (BIM, video and laser scanning, AI and cloud computing, big data and data analytics, reality capture, Blockchain, simulation, augmented reality, data standards and interoperability, and vertical and horizontal integration) The aim of this handbook is to describe the Construction 4.0 framework and consequently highlight the resultant processes and practices that allow us to plan, design, deliver, and operate built environment assets more effectively and efficiently by focusing on the physical-to-digital transformation and then digital-to-physical transformation. This book is essential reading for all built environment and AEC stakeholders who need to get to grips with the technological transformations currently shaping their industry, research, and teaching.

Application of Machine Learning and Deep Learning Methods to Power System Problems
Application of Machine Learning and Deep Learning Methods to Power System Problems

Author: Morteza Nazari-Heris

Publisher: Springer Nature

Published: 2021-11-21

Total Pages: 391

ISBN-13: 3030776964

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This book evaluates the role of innovative machine learning and deep learning methods in dealing with power system issues, concentrating on recent developments and advances that improve planning, operation, and control of power systems. Cutting-edge case studies from around the world consider prediction, classification, clustering, and fault/event detection in power systems, providing effective and promising solutions for many novel challenges faced by power system operators. Written by leading experts, the book will be an ideal resource for researchers and engineers working in the electrical power engineering and power system planning communities, as well as students in advanced graduate-level courses.

Industry 4.0 Solutions for Building Design and Construction
Industry 4.0 Solutions for Building Design and Construction

Author: Farzad Pour Rahimian

Publisher: Routledge

Published: 2021-12-20

Total Pages: 465

ISBN-13: 1000506363

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This book provides in-depth results and case studies in innovation from actual work undertaken in collaboration with industry partners in Architecture, Engineering, and Construction (AEC). Scientific advances and innovative technologies in the sector are key to shaping the changes emerging as a result of Industry 4.0. Mainstream Building Information Management (BIM) is seen as a vehicle for addressing issues such as industry fragmentation, value-driven solutions, decision-making, client engagement, and design/process flow; however, advanced simulation, computer vision, Internet of Things (IoT), blockchain, machine learning, deep learning, and linked data all provide immense opportunities for dealing with these challenges and can provide evidenced-based innovative solutions not seen before. These technologies are perceived as the “true” enablers of future practice, but only recently has the AEC sector recognised terms such as “golden key” and “golden thread” as part of BIM processes and workflows. This book builds on the success of a number of initiatives and projects by the authors, which include seminal findings from the literature, research and development, and practice-based solutions produced for industry. It presents these findings through real projects and case studies developed by the authors and reports on how these technologies made a real-world impact. The chapters and cases in the book are developed around these overarching themes: • BIM and AEC Design and Optimisation: Application of Artificial Intelligence in Design • BIM and XR as Advanced Visualisation and Simulation Tools • Design Informatics and Advancements in BIM Authoring • Green Building Assessment: Emerging Design Support Tools • Computer Vision and Image Processing for Expediting Project Management and Operations • Blockchain, Big Data, and IoT for Facilitated Project Management • BIM Strategies and Leveraged Solutions This book is a timely and relevant synthesis of a number of cogent subjects underpinning the paradigm shift needed for the AEC industry and is essential reading for all involved in the sector. It is particularly suited for use in Masters-level programs in Architecture, Engineering, and Construction.

Robotic Building
Robotic Building

Author: Mollie Claypool

Publisher: Detail

Published: 2019

Total Pages: 0

ISBN-13: 9783955534240

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The use of robots in architecture is already commonplace: robots automate processes that were previously done manually. Complex shapes are created with the help of 3D printing while autonomous swarms of robots construct complex buildings. How does the use of robots affect the resulting structures; how does it affect the thinking of architects who work with robots? Robotic Building answers these questions with several practical examples. A final chapter explores the idea of architect as robot, the fully-automated home and similar concepts in which the robot merges with its environment and becomes part of our experience.

Automation and Robotics in Construction XI
Automation and Robotics in Construction XI

Author: Alan Chamberlain

Publisher: Newnes

Published: 2012-12-02

Total Pages: 731

ISBN-13: 0444597581

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Sourced from international experts, this book presents papers dealing with a wide range of soft and hard research issues at various stages of development in the field. Some cover entirely new ground, whilst others reflect progress on the sometimes frustrating path to truly robust technology. Of particular interest are contributions discussing issues of exploitation and commercialisation, the integration of end products within the design and construction processes incorporating information technology (IT) and the impact of the emerging technology on the culture and organisation of the construction industry. A mark of growing maturity is apparent in the coverage of health and safety and related social issues. This is complemented by a clear commitment to the consideration of human factors and the environment. It is hoped that by promoting a wider debate on the matters of future technology and its horizons, on the identification of what industry needs from the research and development community and on building effective partnerships between academia, industry and government, the publication not only addresses the practical commercial obligation to seek robust solutions for today's problems, but will stimulate research for the years to come.

Automating Cities
Automating Cities

Author: Brydon T. Wang

Publisher: Springer Nature

Published: 2021-01-04

Total Pages: 363

ISBN-13: 9811586705

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This book highlights the latest advancements in the use of automated systems in the design, construction, operation and future of the built environment and its occupants. It considers how the use of automated decision-making frameworks, artificial intelligence and other technologies of automation are presently impacting the practice of architects, engineers, project managers and contractors, and articulates the near future changes to workflows, legal frameworks and the wider AEC industry. This book surveys and compiles the use of city apps, robots that operate buildings and fabricate structural elements, 3D printing, drones, sensors, algorithms, and advanced prefabricated modules. The book also contributes to the growing literature on smart cities, and explores the impacts on data privacy and data sovereignty that arise through the use of sensors, digital twins and intelligent transport systems. It provides a useful reference for further research and development in the area of automation in design and construction to architects, engineers, project managers, superintendents and construction lawyers, contractors, policy makers, and students.

Robotic Building
Robotic Building

Author: Henriette Bier

Publisher: Springer

Published: 2019-09-13

Total Pages: 236

ISBN-13: 9783030100001

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The first volume of the Adaptive Environments series focuses on Robotic Building, which refers to both physically built robotic environments and robotically supported building processes. Physically built robotic environments consist of reconfigurable, adaptive systems incorporating sensor-actuator mechanisms that enable buildings to interact with their users and surroundings in real-time. These require Design-to-Production and Operation chains that are numerically controlled and (partially or completely) robotically driven. From architectured materials, on- and off-site robotic production to robotic building operation augmenting everyday life, the volume examines achievements of the last decades and outlines potential future developments in Robotic Building. This book offers an overview of the developments within robotics in architecture so far, and explains the future possibilities of this field. The study of interactions between human and non-human agents at building, design, production and operation level will interest readers seeking information on architecture, design-to-robotic-production and design-to-robotic-operation.