Modern Industrial Process Development Based on IoT technology

Prerequisites: basic concepts of mathematics and geometry, basics concepts of object-oriented programming.
Module 1 Sensor Network for Intelligent Predictive Enterprise and cybersecurity Maintenance is a key area that can drive major cost savings and production value around the world, but foundry and casting industry with its predominantly medium-sized structure is characterized by a low degree of automation, due to the very long service life of machines. Machine down time have two big consequences within foundry process:
  • Energy waste: energy consumption is not adjustable during process interruption.
  • Decrease of productivity level (OEE – Overall Equipment Effectiveness) and increase of process instability.
Module 2 MangroviaIoT – An Asset Management and Operational Intelligence Platform An IoT Smart Monitoring infrastructure consisting of an industrial-grade wireless sensor network solution plus an IoT gateway with multiple connectivity options and meeting state-of-the-art cybersecurity requirements. Module 3 Predictive maintenance models and python AI approach to machine learning An artificial intelligence-based decision support system that collects machine process data (temperature, engine vibration and other media) from the sensor network and then predicts maintenance of specific key processes.
• Industrial process: risks identification, main production losses, energy waste reduction, productivity improvement, down-time reduction by prediction • Iot: basic sensors, main M2M comunication protocols, most common Iot infrastructures • Monitoring: Mangrovia system for data recording and analysis • Cybersecurity: state of the art of cybersecurity • Predictive Maintenance: basics of maintenance, methods of prediction, AI programmaing
• List possible improvements in a industrial production plant. • Research on the Internet IoT sensors solutions • Design a infrastructure plan to deploy improvements • Make a predictive maintenance requirements specification • Understand cybersecurity issues • Analyze alternatives and solutions to the problem based on suppliers’ proposals.
Improve industrial process performances by means of an Iot and AI production predictive maintenance system, with particular attention to cybersecurity.
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Learning from the best

Andrea Ravasio
HW and FW Engineer at FAE Technology

Learning from the best

Manuel Lobati
Innovation & Project Manager, PMP ® at FAE Technology

Learning from the best

Matteo Giaconia
Senior System Engineer

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