Project Results
The i4Q Project aims to provide a complete solution consisting of an IoT-based Reliable Industrial Data Services (RIDS), a complete suite composed of 22 i4Q Solutions, able to manage the huge amount of industrial data coming from cheap cost-effective, smart, and small size interconnected factory devices for supporting manufacturing online monitoring and control.
Manufacturing
Data
Quality
The necessary strategies, methods, and key technologies to ensure data quality, which is influenced by many factors including human error, communication issues or inaccuracies
Rapid Manufacturing Line Qualification
and Reconfiguration
Strategies and methods for process qualification as well as process reconfiguration and optimisation using existing manufacturing data and smart algorithms
Manufacturing Data Analytics for Manufacturing Quality Assurance
Turn data into information and actionable insights.
