efficient safeguarding of elevator functionalities through ......data visualization and analysis...

1www.esi-group.com

Copyright © ESI Group, 2017. All rights reserved.

1

Copyright © ESI Group, 2017. All rights reserved.

www.esi-group.com

Efficient safeguarding of elevator functionalities through virtual commissioning

ProSTEP iViP Symposium 2017

Bankolé Adjibadji, ThyssenKrupp Elevator Innovation GmbHJörg Arloth, Sales Manager, ESI ITI GmbH

17th May 2017

2www.esi-group.com

Copyright © ESI Group, 2017. All rights reserved.

Agenda

• Thyssenkrupp AG – Reinventing the elevator concept

• Elevator’s Product Performance Lifecycle

‣ Shorter development process through virtual prototypes• Model-in-the-loop strategy for control development• Hardware-in-the-loop strategy for elevator systems• One model - multiple benefits

‣ Validation of System Models against Field Data

‣ Outlook: Predictive Maintenance

3www.esi-group.com

Copyright © ESI Group, 2017. All rights reserved.

Rocking 100 years science & technology of elevatorsthyssenkrupp AG – Reinventing the elevator concept

Source: Keynote slides ProSTEP iViP Symposium 2016, Dr. Picard, thyssenkrupp AG

4www.esi-group.com

Copyright © ESI Group, 2017. All rights reserved.

Rocking 100 years science & technology of elevatorsthyssenkrupp AG – Reinventing the elevator concept

Source: Keynote slides ProSTEP iViP Symposium 2016, Dr. Picard, thyssenkrupp AG

5www.esi-group.com

Copyright © ESI Group, 2017. All rights reserved.

Elevator’s Product Performance Lifecycle

Model System Behavior

Model System Behavior

Model Faults and System Performance 

Loss

Model Faults and System Performance 

Loss

fault in torque generator

Compare Field Data to Faulted System Model 

Compare Field Data to Faulted System Model 

Diagnose System Fault and Prioritize 

Maintenance

Diagnose System Fault and Prioritize 

Maintenance

6www.esi-group.com

Copyright © ESI Group, 2017. All rights reserved.

Elevator’s Product Performance Lifecycle

Model System Behavior

Model System Behavior

Model Faults and System Performance 

Loss

Model Faults and System Performance 

Loss

fault in torque generator

Compare Field Data to Faulted System Model 

Compare Field Data to Faulted System Model 

Diagnose System Fault and Prioritize 

Maintenance

Diagnose System Fault and Prioritize 

Maintenance

7www.esi-group.com

Copyright © ESI Group, 2017. All rights reserved.

Model System Behavior

Model System Behavior

Model Faults and System Performance 

Loss

Model Faults and System Performance 

Loss

fault in torque generator

Compare Field Data to Faulted System Model 

Compare Field Data to Faulted System Model 

Diagnose System Fault and Prioritize 

Maintenance

Diagnose System Fault and Prioritize 

Maintenance

Elevator’s Product Performance Lifecycle

8www.esi-group.com

Copyright © ESI Group, 2017. All rights reserved.

Shortening the development process through virtual prototypes

Virtual Controller+

Virtual Elevator

‐ detailed models‐ consideration of

multiple effects‐ test of new control

algorithms

‐ real‐time models

‐ test of the real controller (software & hardware)

Real Controller+

Virtual Elevator

9www.esi-group.com

Copyright © ESI Group, 2017. All rights reserved.

Model-in-the-loop strategy for control developmentShorter development process through virtual prototypes

• Mechanics

• Safety engineering

• Electrical machineand power electronics

10www.esi-group.com

Copyright © ESI Group, 2017. All rights reserved.

Hardware-in-the-loop strategy for elevator systemsShorter development process through virtual prototypes

HiL SimulationIntegration

AccessDownload

Modeling

Configure

Connect

ImportExport

11www.esi-group.com

Copyright © ESI Group, 2017. All rights reserved.

One model - multiple benefitsShorter development process through virtual prototypes

• Frontloading‣ Early and efficient specification of control strategies for offline

modelling and functional tests (MiL)

• Collaboration‣ Standardized model exchange based on Functional Mock-up

Interface (FMI)

• Consistency‣ Representation and re-use of existing know-how within an

application specific elevator library incl.• Consideration of physical interactions and safety-critical effects• Reduction of model‘s level of detail to ensure real-time capability

12www.esi-group.com

Copyright © ESI Group, 2017. All rights reserved.

Data visualization and analysis based on machine learning algorithms

Validation of System Models against Field Data

PPLProduct Performance Lifecycle

Math models

VR/ARData Analytics

IVEImmersive Virtual Engineering

• ROMESA ‐ Robustness and Reliability Simulation of Mechatronic Systems including Aging and Wear (BMBF Förderprojekt, KMU innovativ) ‣ simulation of wear and age – information feed 

back for planning of life cycle tests‣ Embedded simulation using FMI for speed up of 

virtual life time tests

13www.esi-group.com

Copyright © ESI Group, 2017. All rights reserved.

Outlook towards Predictive MaintenanceUser story for consistent workflow

• Specification‣ Early, efficient an complete modelling of the systems behavior incl. all physical

interactions and controllers• Virtual testing

‣ Successful integration of FMU into existing real time environment taking all relevant phenomena into account (Co-simulation is numerically stable)

• Fault Analysis‣ Set up scenarios for fault injection and dependability analysis to ensure functional safety

according to ISO 26262 for interaction between controller and physical system.• Predictive Maintenance

‣ Comparison of real vs. ideal or faulted behavior (e.i. field data vs. simulation model) using machine learning algorithms

14www.esi-group.com

Copyright © ESI Group, 2017. All rights reserved.

Let’s talk about chal lenges and chances!

Jörg ArlothSales Manager ESI ITI ESI ITI GmbH | Schweriner Str. 1 | 01067 Dresden | Germany

Direct: +49 351 260 50 160Celular: +49 173 3194650 Email: Joerg.Arloth@esi-group.com