Artificial Intelligence in Automation

AsK: Entwicklung eines selbst lernenden Assistenzsystems für die ressourceneffiziente Reinigung von Abwasserkanälen

Prof. Dr. rer. nat. Oliver Niggemann
03.04.2013 bis 31.03.2015

The aim of the project is the development of an assistance system, which supports the operator in such a way to carry out the cleaning of sewer taking into account quality and cost aspects as efficiently as possible. The system should adapt to different environmental conditions and be self-learning. The information gained will be stored for future cleaning operations in a global database and will be available to the vehicles at different locations.

This project is promoted by:
Bundesministerium für Wirtschaft und Energie (BMWi)
Sponsors: AiF Projekt GmbH
Funding Code: KF2448213KM3
Funding Lines: Zentrales Innovationsprogram Mittelstand (ZIM)
Stakeholders / Contacts: Prof. Dr. rer. nat. Oliver Niggemann
Employees: Dr.-Ing. Peng Li, Ganesh Man Shrestha, M. Sc.
Ganesh Man Shrestha, M. Sc., Prof. Dr. rer. nat. Oliver Niggemann
A Bayesian Predictive Assistance System for Resource Optimization - A Case Study in Industrial Cleaning Process
In: 19th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Sep 2014
Ganesh Man Shrestha, M. Sc., Dr.-Ing. Peng Li, Prof. Dr. rer. nat. Oliver Niggemann
Bayesian Predictive Assistance System: An Embedded Application for Resource Optimization in Industrial Cleaning Processes
In: IEEE International Conference on Industrial Informatics (INDIN 2015), Jul 2015
Ganesh Man Shrestha, M. Sc., Prof. Dr. rer. nat. Oliver Niggemann
Hybrid Approach Combining Bayesian Network and Rule-based Systems for Resource Optimization in Industrial Cleaning Processes
In: 20th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA2015), Sep 2015
Promoted by
Projektträger
AiF Projekt GmbH