Intelligent Bridge Maintenance and Management [electronic resource] : Emerging Digital Technologies / by Gang Wu, ZhiQiang Chen, Ji Dang.

Por: Wu, Gang [author.]Colaborador(es): Chen, ZhiQiang [author.] | Dang, Ji [author.] | SpringerLink (Online service)Tipo de material: TextoTextoSeries Springer Tracts in Civil EngineeringEditor: Singapore : Springer Nature Singapore : Imprint: Springer, 2024Edición: 1st ed. 2024Descripción: XVIII, 463 p. 292 illus., 180 illus. in color. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9789819738274Tema(s): Facility management | Big data | Internet of things | Facility Management | Big Data | Internet of ThingsFormatos físicos adicionales: Printed edition:: Sin título; Printed edition:: Sin título; Printed edition:: Sin títuloClasificación CDD: 352.56 Clasificación LoC:TX955-985Recursos en línea: Libro electrónicoTexto
Contenidos:
Introduction -- Intelligent Bridge Maintenance and Management System -- IoT Sensing Technology -- Bridge Inspection Automation -- Big Data Enabled Computating.
En: Springer Nature eBookResumen: This book provides a timely introduction to the methodology of Intelligent Bridge Maintenance and Management (IBM&M) and a comprehensive synthesis of emerging digital technologies for realizing IBM&M. The authors, who carry research, teaching, and consulting experience in the USA, Japan, and China, present the background, principles, methods, and application examples of essential IBM&M solutions in eight dedicated chapters. The digital technologies covered in this book include: • Artificial intelligence, big data, machine learning, computer vision. • Data fusion, 3D building information, digital twin modeling, virtual and augmented reality. • Internet of things sensors, robotics including unmanned vehicles. The book targets the audience in the broader Bridge Engineering community, including academic researchers, students, bridge owners, and technology providers.
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Introduction -- Intelligent Bridge Maintenance and Management System -- IoT Sensing Technology -- Bridge Inspection Automation -- Big Data Enabled Computating.

This book provides a timely introduction to the methodology of Intelligent Bridge Maintenance and Management (IBM&M) and a comprehensive synthesis of emerging digital technologies for realizing IBM&M. The authors, who carry research, teaching, and consulting experience in the USA, Japan, and China, present the background, principles, methods, and application examples of essential IBM&M solutions in eight dedicated chapters. The digital technologies covered in this book include: • Artificial intelligence, big data, machine learning, computer vision. • Data fusion, 3D building information, digital twin modeling, virtual and augmented reality. • Internet of things sensors, robotics including unmanned vehicles. The book targets the audience in the broader Bridge Engineering community, including academic researchers, students, bridge owners, and technology providers.

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