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.
