A Digitalization Framework for Smart Maintenance of Historic Buildings

A Digitalization Framework for Smart Maintenance of Historic Buildings PDF Author: Zhongjun Ni
Publisher: Linköping University Electronic Press
ISBN: 9180753051
Category : Computers
Languages : en
Pages : 55

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Book Description
Smart maintenance of historic buildings involves integration of digital technologies and data analysis methods to help maintain functionalities of these buildings and preserve their heritage values. However, the maintenance of historic buildings is a long-term process. During the process, the digital transformation requires overcoming various challenges, such as stable and scalable storage and computing resources, a consistent format for organizing and representing building data, and a flexible design to integrate data analytics to deliver applications. This licentiate thesis aims to address these challenges by proposing a digitalization framework that integrates Internet of Things (IoT), cloud computing, ontology, and machine learning. IoT devices enable data collection from historic buildings to reveal their latest status. Using a public cloud platform brings stable and scalable resources for storing data, performing analytics, and deploying applications. Ontologies provide a clear and concise way to organize and represent building data, which makes it easier to understand the relationships between different building components and systems. Combined with IoT devices and ontologies, parametric digital twins can be created to evolve with their physical counterparts. Furthermore, with machine learning, digital twins can identify patterns from data and provide decision-makers with insights to achieve smart maintenance. Papers I-III have shown that data can be reliably collected, transmitted, and stored in the cloud. Results of Paper IV indicate that a digital twin that depicts the latest status of a historic building can be created and fed with real-time sensor data. The insights discovered from the digital twin provide facts for improving the indoor climate to achieve both heritage conservation and human comfort. Papers V and VI have shown that deep learning methods exhibit strong capabilities in capturing tendency and uncertainty in building energy consumption. Incorporating future information that determines energy consumption is critical for making multi-horizon predictions. Moreover, changes in the operating mode of a building and activities held in a building bring more uncertainty in energy consumption and deteriorate the performance of point forecasts. Overall, this thesis contributes to the field of preservation of historic buildings by proposing a comprehensive digitalization framework that integrates various advanced digital technologies to provide a holistic approach to achieve smart maintenance of historic buildings.

A Digitalization Framework for Smart Maintenance of Historic Buildings

A Digitalization Framework for Smart Maintenance of Historic Buildings PDF Author: Zhongjun Ni
Publisher: Linköping University Electronic Press
ISBN: 9180753051
Category : Computers
Languages : en
Pages : 55

Get Book Here

Book Description
Smart maintenance of historic buildings involves integration of digital technologies and data analysis methods to help maintain functionalities of these buildings and preserve their heritage values. However, the maintenance of historic buildings is a long-term process. During the process, the digital transformation requires overcoming various challenges, such as stable and scalable storage and computing resources, a consistent format for organizing and representing building data, and a flexible design to integrate data analytics to deliver applications. This licentiate thesis aims to address these challenges by proposing a digitalization framework that integrates Internet of Things (IoT), cloud computing, ontology, and machine learning. IoT devices enable data collection from historic buildings to reveal their latest status. Using a public cloud platform brings stable and scalable resources for storing data, performing analytics, and deploying applications. Ontologies provide a clear and concise way to organize and represent building data, which makes it easier to understand the relationships between different building components and systems. Combined with IoT devices and ontologies, parametric digital twins can be created to evolve with their physical counterparts. Furthermore, with machine learning, digital twins can identify patterns from data and provide decision-makers with insights to achieve smart maintenance. Papers I-III have shown that data can be reliably collected, transmitted, and stored in the cloud. Results of Paper IV indicate that a digital twin that depicts the latest status of a historic building can be created and fed with real-time sensor data. The insights discovered from the digital twin provide facts for improving the indoor climate to achieve both heritage conservation and human comfort. Papers V and VI have shown that deep learning methods exhibit strong capabilities in capturing tendency and uncertainty in building energy consumption. Incorporating future information that determines energy consumption is critical for making multi-horizon predictions. Moreover, changes in the operating mode of a building and activities held in a building bring more uncertainty in energy consumption and deteriorate the performance of point forecasts. Overall, this thesis contributes to the field of preservation of historic buildings by proposing a comprehensive digitalization framework that integrates various advanced digital technologies to provide a holistic approach to achieve smart maintenance of historic buildings.

A Digitalization Framework for Smart Maintenance of Historic Buildings

A Digitalization Framework for Smart Maintenance of Historic Buildings PDF Author: Zhongjun Ni
Publisher:
ISBN: 9789180753043
Category :
Languages : en
Pages : 0

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Book Description


Building Information Modeling

Building Information Modeling PDF Author: André Borrmann
Publisher: Springer
ISBN: 3319928627
Category : Computers
Languages : en
Pages : 582

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Book Description
Building Information Modeling (BIM) refers to the consistent and continuous use of digital information throughout the entire lifecycle of a built facility, including its design, construction and operation. In order to exploit BIM methods to their full potential, a fundamental grasp of their key principles and applications is essential. Accordingly, this book combines discussions of theoretical foundations with reports from the industry on currently applied best practices. The book’s content is divided into six parts: Part I discusses the technological basics of BIM and addresses computational methods for the geometric and semantic modeling of buildings, as well as methods for process modeling. Next, Part II covers the important aspect of the interoperability of BIM software products and describes in detail the standardized data format Industry Foundation Classes. It presents the different classification systems, discusses the data format CityGML for describing 3D city models and COBie for handing over data to clients, and also provides an overview of BIM programming tools and interfaces. Part III is dedicated to the philosophy, organization and technical implementation of BIM-based collaboration, and discusses the impact on legal issues including construction contracts. In turn, Part IV covers a wide range of BIM use cases in the different lifecycle phases of a built facility, including the use of BIM for design coordination, structural analysis, energy analysis, code compliance checking, quantity take-off, prefabrication, progress monitoring and operation. In Part V, a number of design and construction companies report on the current state of BIM adoption in connection with actual BIM projects, and discuss the approach pursued for the shift toward BIM, including the hurdles taken. Lastly, Part VI summarizes the book’s content and provides an outlook on future developments. The book was written both for professionals using or programming such tools, and for students in Architecture and Construction Engineering programs.

The Maintenance Management Framework

The Maintenance Management Framework PDF Author: Adolfo Crespo Márquez
Publisher: Springer Science & Business Media
ISBN: 1846288215
Category : Computers
Languages : en
Pages : 341

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Book Description
“The Maintenance Management Framework” describes and reviews the concept, process and framework of modern maintenance management of complex systems; concentrating specifically on modern modelling tools (deterministic and empirical) for maintenance planning and scheduling. It will be bought by engineers and professionals involved in maintenance management, maintenance engineering, operations management, quality, etc. as well as graduate students and researchers in this field.

Utilizing Smart Technology and AI in Hybrid Tourism and Hospitality

Utilizing Smart Technology and AI in Hybrid Tourism and Hospitality PDF Author: Kumar, Sanjeev
Publisher: IGI Global
ISBN:
Category : Business & Economics
Languages : en
Pages : 389

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Book Description
In an era where technology and hospitality converge, the models of travel and lodging are undergoing a transformative shift known as hybrid hospitality. As modern travelers' expectations evolve and digital transformation becomes a cornerstone across industries, the infusion of technology into hospitality is not merely an option but an imperative. A comprehensive resource is needed to explore the compelling forces driving the demand for enhanced technological capabilities within hybrid hospitality, specifically focusing on artificial intelligence (AI). Utilizing Smart Technology and AI in Hybrid Tourism and Hospitality delves into various themes integral to this investigation, from delivering personalized experiences to ensuring productivity and security in global hospitality. It directs attention to the infinite business opportunities unfolding worldwide and technology's profound impact on the tourism sector. Embark on a journey through the pages of this comprehensive guide to understand why the seamless integration of technology is preferable and an essential foundation for elevating guest satisfaction and reshaping the global hospitality.

Digitalization in Construction

Digitalization in Construction PDF Author: Chansik Park
Publisher: Taylor & Francis
ISBN: 1003805361
Category : Technology & Engineering
Languages : en
Pages : 354

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Book Description
This book highlights the latest trends and advances in applications of digital technologies in construction engineering and management. A collection of chapters is presented, explicating how advanced technological solutions can innovatively address challenges and improve outcomes in the construction industry. Promising technologies that are highlighted include digital twins, virtual reality, augmented reality, artificial intelligence, robotics, blockchain, and distributed ledger technologies. The first section presents recent applications of extended reality technologies for construction education and advanced project control. The subsequent chapters explore Artificial Intelligence (AI), blockchain, and BIM-enabled digitalization in construction through a series of case studies, reviews, and technical studies. Innovative technologies and digitalized solutions are proposed for improved design, planning, training, monitoring, inspection, and operations management in Architectural, Engineering and Construction (AEC) contexts. In addition to the technological perspectives and insights presented, pressing issues such as decarbonization, safety, and sustainability in the built environment are also discussed. This book provides foundational knowledge and in-depth technical studies on emerging technologies for students, academics, and industry practitioners. The research demonstrates how the effective use of new technologies can enhance work methods, transform organizational structures, and bring profound advantages to construction project participants.

Heritage Building Information Modelling

Heritage Building Information Modelling PDF Author: Yusuf Arayici
Publisher: Taylor & Francis
ISBN: 1317239768
Category : Architecture
Languages : en
Pages : 292

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Book Description
Building Information Modelling (BIM) is being debated, tested and implemented wherever you look across the built environment sector. This book is about Heritage Building Information Modelling (HBIM), which necessarily differs from the commonplace applications of BIM to new construction. Where BIM is being used, the focus is still very much on design and construction. However, its use as an operational and management tool for existing buildings, particularly heritage buildings, is lagging behind. The first of its kind, this book aims to clearly define the scope for HBIM and present cutting-edge research findings alongside international case studies, before outlining challenges for the future of HBIM research and practice. After an extensive introduction to HBIM, the core themes of the book are arranged into four parts: Restoration philosophies in practice Data capture and visualisation for maintenance and repair Building performance Stakeholder engagement This book will be a key reference for built environment practitioners, researchers, academics and students engaged in BIM, HBIM, building energy modelling, building surveying, facilities management and heritage conservation more widely.

Intelligent Systems in Digital Transformation

Intelligent Systems in Digital Transformation PDF Author: Cengiz Kahraman
Publisher: Springer Nature
ISBN: 3031165985
Category : Technology & Engineering
Languages : en
Pages : 626

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Book Description
This book states that intelligent digital transformation is the process of using artificial intelligence techniques in digital technologies such as machine learning, natural language processing, automation and robotics to transform existing non-digital business processes and services to meet with the evolving market and customer expectations. This book including 26 chapters, each written by their experts, focuses on revealing the reflection of digital transformation in our business and social life under emerging conditions through intelligent systems. Intelligent digital transformation examples from almost all sectors including health, education, manufacturing, tourism, insurance, smart cities, banking, energy and transportation are introduced by theory and applications. The intended readers are managers responsible for digital transformation, intelligent systems researchers, lecturers, and MSc and PhD students studying digital transformation.

The Fourth Industrial Revolution

The Fourth Industrial Revolution PDF Author: Klaus Schwab
Publisher: Crown Currency
ISBN: 1524758876
Category : Business & Economics
Languages : en
Pages : 194

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Book Description
World-renowned economist Klaus Schwab, Founder and Executive Chairman of the World Economic Forum, explains that we have an opportunity to shape the fourth industrial revolu­tion, which will fundamentally alter how we live and work. Schwab argues that this revolution is different in scale, scope and complexity from any that have come before. Characterized by a range of new technologies that are fusing the physical, digital and biological worlds, the developments are affecting all disciplines, economies, industries and governments, and even challenging ideas about what it means to be human. Artificial intelligence is already all around us, from supercomputers, drones and virtual assistants to 3D printing, DNA sequencing, smart thermostats, wear­able sensors and microchips smaller than a grain of sand. But this is just the beginning: nanomaterials 200 times stronger than steel and a million times thinner than a strand of hair and the first transplant of a 3D printed liver are already in development. Imagine “smart factories” in which global systems of manu­facturing are coordinated virtually, or implantable mobile phones made of biosynthetic materials. The fourth industrial revolution, says Schwab, is more significant, and its ramifications more profound, than in any prior period of human history. He outlines the key technologies driving this revolution and discusses the major impacts expected on government, business, civil society and individu­als. Schwab also offers bold ideas on how to harness these changes and shape a better future—one in which technology empowers people rather than replaces them; progress serves society rather than disrupts it; and in which innovators respect moral and ethical boundaries rather than cross them. We all have the opportunity to contribute to developing new frame­works that advance progress.

E-maintenance

E-maintenance PDF Author: Kenneth Holmberg
Publisher: Springer Science & Business Media
ISBN: 1849962057
Category : Technology & Engineering
Languages : en
Pages : 531

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Book Description
E-maintenance is the synthesis of two major trends in today’s society: the growing importance of maintenance as a key technology and the rapid development of information and communication technology. E-maintenance gives the reader an overview of the possibilities offered by new and advanced information and communication technology to achieve efficient maintenance solutions in industry, energy production and transportation, thereby supporting sustainable development in society. Sixteen chapters cover a range of different technologies, such as: new micro sensors, on-line lubrication sensors, smart tags for condition monitoring, wireless communication and smart personal digital assistants. E-maintenance also discusses semantic data-structuring solutions; ontology structured communications; implementation of diagnostics and prognostics; and maintenance decision support by economic optimisation. It includes four industrial cases that are both described and analysed in detail, with an outline of a global application solution. E-maintenance is a useful tool for engineers and technicians who wish to develop e-maintenance in industrial sites. It is also a source of new and stimulating ideas for researchers looking to make the next step towards sustainable development.