Industry 4.0 is a revolutionary approach to manufacturing and mass production technology. Industry 4.0, commonly referred to as the 4th Industrial Revolution and it has lot of promises in improving Revenues, comforts to Customers, Investments, Quality of Service, Data Security, Factory automation and Time–to–Market reduction. It leads to the fact that the machines will operate independently, or work in cooperation with humans. This concept will push manufacturers to a new level of opportunity and productivity. Customers will adherent to new level of services and personally customized products. All these will become possible by introducing self–learning, self–optimization, self–recognition, and self–customization among the machines of the industry.<br>The machines can communicate with each other through IoT, with humans through IoP (Internet of People), and with manufacturers through CPPS (Cyber–Physical Production System). Interoperability among machines, objects and systems will be essential to connect the cyber–physical systems, humans, and smart factories. It will also be required to virtualize the CPS data for monitoring and prediction purposes. As the number of sensors in the industry will grow, smart factory should include an infrastructure for distributed computing through edge analytics. The emerging paradigm of smart industry should give the means for not only asset tracking and also for asset performance monitoring and predictive maintenance.<br>Consequently, IoT applications for industry will require new level of industry communication standards to share information among machines and systems, advanced sensing and process for manufacturing, augmented reality for process awareness, data modeling methods and cloud communication standards to ensure security of industry data. This workshop will provide platform for researchers and industry people to come together to discuss on the latest and critical issues in moving towards smart industry and smart manufacturing.<br>The aim of the workshop is to provide state–of–the–art solutions to evolve smart industry with IoT. High quality research papers from academia and industry that are not yet published or not under review are welcome.<br>Topics of interest include, but not limited to:<br>Design of IoT devices for Industrial Applications<br>Digital Twin modeling for Industrial IoT<br>Smart manufacturing platforms<br>Augmented Reality/Virtual Reality for Industrial IoT<br>Energy Harvesting for Industrial IoT<br>Sensor data fusion for Industrial IoT<br>Distributed/Fog/Edge computing for Industrial IoT<br>Data processing and Big data analytics for Industrial IoT<br>Communication system and protocols for Industrial IoT<br>Security issues and Applications<br>Interoperability and Large scale deployment<br>Autonomic management of industrial IoT<br>Pervasive computing & ambient intelligence<br>Wireless networking protocols for industrial IoT<br>Middleware platforms for industrial IoT<br>Spectrum efficient communication for Industrial IoT
Abbrevation
IAIoT
City
Leuven
Country
Belgium
Deadline Paper
Start Date
End Date
Abstract