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Herausgeber: 
  • Noor Zaman
  • Souvik Pal
  • R. Anandan
  • Suseendran Gopalakrishnan
  • Industrial Internet of Things (IIoT): Intelligent Analytics for Predictive Maintenance 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  März 2022  
    Genre:  EDV / Informatik 
     
    Artificial Intelligence / computer science / Electrical & Electronics Engineering / Elektrotechnik u. Elektronik / Engineering Technology Management / Industrial Engineering / Industrielle Verfahrenstechnik / Informatik / Intelligent Systems & Agents / Intelligente Systeme u. Agenten / internet der dinge / Internet of things / iot / Künstliche Intelligenz / Technologiemanagement
    ISBN:  9781119768777 
    EAN-Code: 
    9781119768777 
    Verlag:  Wiley 
    Einband:  Gebunden  
    Sprache:  English  
    Dimensionen:  H 229 mm / B 165 mm / D 28 mm 
    Gewicht:  722 gr 
    Seiten:  432 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    INDUSTRIAL INTERNET OF THINGS (IIOT) This book discusses how the industrial internet will be augmented through increased network agility, integrated artificial intelligence (AI) and the capacity to deploy, automate, orchestrate, and secure diverse user cases at hyperscale. Since the internet of things (IoT) dominates all sectors of technology, from home to industry, automation through IoT devices is changing the processes of our daily lives. For example, more and more businesses are adopting and accepting industrial automation on a large scale, with the market for industrial robots expected to reach $73.5 billion in 2023. The primary reason for adopting IoT industrial automation in businesses is the benefits it provides, including enhanced efficiency, high accuracy, cost-effectiveness, quick process completion, low power consumption, fewer errors, and ease of control. The 15 chapters in the book showcase industrial automation through the IoT by including case studies in the areas of the IIoT, robotic and intelligent systems, and web-based applications which will be of interest to working professionals and those in education and research involved in a broad cross-section of technical disciplines. The volume will help industry leaders by * Advancing hands-on experience working with industrial architecture * Demonstrating the potential of cloud-based Industrial IoT platforms, analytics, and protocols * Putting forward business models revitalizing the workforce with Industry 4.0. Audience Researchers and scholars in industrial engineering and manufacturing, artificial intelligence, cyber-physical systems, robotics, safety engineering, safety-critical systems, and application domain communities such as aerospace, agriculture, automotive, critical infrastructures, healthcare, manufacturing, retail, smart transports, smart cities, and smart healthcare.

      
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