Industrial IoT Application Architectures and Use Cases

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A01=A. Suresh
A01=E. A. Neeba
A01=Jenn-Wei Lin
A01=Malarvizhi Nandagopal
A01=Pethuru Raj
AI data analytics
artificial intelligence
Author_A. Suresh
Author_E. A. Neeba
Author_Jenn-Wei Lin
Author_Malarvizhi Nandagopal
Author_Pethuru Raj
blockchain integration
Category=UB
DAO
data analytics
Detection of Drainage Pipes
Directional Control Valve
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Fog Computing
GPR Data
GPR System
Healthcare IoT
healthcare IoT systems
Hybrid Neural Network
industrial automation
industrial IoT application
Inertial Sensors Data
intelligent IoT frameworks for industry
IoT Application
IoT Data
IoT Device
Kohonen Self-organizing Feature Maps
Ladder Logic
Ladder Logic Diagram
Monitoring Hotel Assets
Precision Agriculture
predictive maintenance
Random Forest
Sequential Forward Selection
Smart Assets
Smart Retail
Smart Traffic Control
smart traffic control system
smart water management
Surface Mount Technologies
SVM Model
TCP
TCP Connection
Tree Subset

Product details

  • ISBN 9781032474465
  • Weight: 320g
  • Dimensions: 156 x 234mm
  • Publication Date: 29 Mar 2023
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
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As the number of Internet of Things (IoT) elements grows exponentially, their interactions can generate a massive amount of raw and multi-structured data. The challenge with this data explosion is to transform any raw data into information and knowledge, which can be used by people and systems to make intelligent decisions. Industrial IoT Application Architectures and Use Cases explores how artificial intelligence (AI), data analytics, and IoT technology combine to promote intelligent decision-making and automation in a range of industries.

With faster, more stable AI algorithms and approaches, knowledge discovery and dissemination from IoT-device data can be simplified and streamlined. An era of powerful cognitive technology is beginning due to cloud-based cognitive systems that are forming the foundation of game-changing intelligent applications. This book presents next-generation use cases of IoT and IoT data analytics for a variety of industrial verticals as given below:



  • An Intelligent IoT framework for smart water management




  • An IoT-enabled smart traffic control system for congestion control and smart traffic management




  • An intelligent airport system for airport management and security surveillance




  • An IoT framework for healthcare to integrate and report patient information




  • Fuzzy scheduling with IoT for tracking and monitoring hotel assets




  • An IoT system for designing drainage systems and monitoring drainage pipes




  • Predictive maintenance of plant equipment to decide the actual mean time to malfunction




  • Integrated neural networks and IoT systems for predictive equipment maintenance




  • IoT integration in blockchain for smart waste management


This book also includes a chapter on the IoT paradigm and an overview of uses cases for personal, social, and industrial applications.

A. Suresh, Malarvizhi Nandagopal, Pethuru Raj, E. A. Neeba, Jenn-Wei Lin

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