Smart Monitoring IoT Learning Ecosystem
Ministry of Economic Development - Fund for sustainable growth
Measure AXIS I Action 1.1.3. of the National Operational Program
«Business and competitiveness» 2014-2020 ERDF
Industrial research and experimental development projects in the application sectors consistent with the national strategy of intelligent specialization "Smart factory" and "Agrifood".
Registered office: via Etnea, 736 - 95128 Catania
Operating Unit: via Etnea, 736 / PAL. B - 95128 Catania
VAT number: 04790640876
Project n. F / 190209 / 01-03 / X44
Project title: SMILE (Smart Monitoring IoT Learning Ecosystem)
What is SMILE?
SMILE (Smart Monitoring IoT Learning Ecosystem) is a cloud-based platform that delivers in "as-a-service" the monitoring services and subsequent intelligent control of an ecosystem of processes that characterize the corporate "life" of a factory through use of automatic prescriptive techniques with the support of supervised and unsupervised machine learning and deep learning, artificial intelligence and innovative IoT sensors equipped with advanced communication algorithms.
Creation of a process-independent cloud platform that allows any industry to improve its performance by minimizing periods of disruption, thanks to the supervision and monitoring of processes and the prediction of anomalies by identifying, where possible, the causes that generated it
What does it foresee?
Integrated advanced system for monitoring and controlling IoT sensors
Process-independent predictive and prescriptive maintenance system based on the use of unsupervised and supervised machine learning algorithms
Acceleration of the learning phases for the detection and prediction models of anomalies thanks to the analysis of inter-factory data of homogeneous data
Alert communication system (sms, email, telegram, etc)
Web dashboard for the management of the entire platform
Design of innovative IoT sensors (reactive power, rain estimation, etc)
Reliability monitoring of sensors (life time prediction) and of the goodness of the measured data (dirty sensor, etc.)
Simple definition of business objectives
Automatic detection of features useful for learning algorithms
Monitoring and control platform provided in "as a service" mode
Configuration of the platform that does not requires technicians expert in Artificial Intelligence algorithms