i4Q Data-driven Continuous Process Qualification (i4Q PQ)

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i4Q PQ is a microservice for rapid monitoring of stability, capability, and performance of manufacturing processes.

Project: i4Q

Publisher: TUB

Technology: Data Analytics, AI

Industry: Industry

INTRODUCTION

i4Q PQ is a continuous process qualification which is a microservice for rapid monitoring of stability, capability, and performance of manufacturing processes. This includes: Continuous Evaluation to see if Process is currently out of desired Quality Range, Forecast Evaluation to see if Process will be out of desired Quality Range, Continuous Model Evaluation and Improvement, Alert Definition and Environmental Setup.

FEATURES/BENEFITS

  • Features:
    • Open Source platform
    • Consultancy and Support
  • Benefits:
    • Fast monitoring
    • Continuous Process Qualification
    • Predictive Quality
    • Time Series Prediction

TECHNICAL INFORMATION

  • Code

    i4Q PQ

    Type

    Analytical Solution 

    Technology Topic

    AI, Data Analytics 

    Development

    Python

RESOURCES

How it works

Components

Interact

Identifying technical relationships 

Pre-process sensor data

Data Repository

Any kind of API

Generate process quality data

Pre-process sensor data 

In solution 

Evaluate process quality data

Evaluate process quality data

In solution 

Visualize data 

Generate process quality data

Any kind of API 

Evaluate model parallel with new machine data 

Generate process quality data

In solution 

Inform process owner about insufficient process quality

Generate process quality data

Any kind of API 

USE CASE

SERVICES LINKED

PUBLISHERS

TUB - The Technische Universität Berlin is one of Germany’s largest and most internationally renowned technical universities. Located in Germany’s capital city – at the heart of Europe – outstanding achievements in research and teaching, imparting skills to excellent graduates, and a modern service-oriented administration characterize TU Berlin.