aKtIv
Agile network control to increase the resilience of the critical infrastructure water supply
| Duration: | 01.10.2022 - 30.09.2025 |
| Project Leader: | Prof. Dr.-Ing. Horst Hellbrück |
| Staff: | Swen Leugner, M.Sc. |
Background
Digitalisation is making its way into many areas of daily life. Cities are becoming more innovative technically, economically and socially and are developing into smart cities. The smart idea is also aimed at the interaction of the various actors, which is supported by technology. The Internet of Things and Services is a key technology for this, which records data from measuring points and intelligently combines them in a digital twin of a physical object. In the digital twin, processes can be traced and controlled, and the results can be reflected back into the real world and problems solved.
For example, the effects of scenarios such as floods, power outages or pandemics depend on the structure of the respective water supply system. In order to take into account the multidimensionality and cascade effects of crises and their impact on the security of supply for society, the quantitative impairment of the drinking water supply caused by a crisis is considered in the context of the aKtIv project.
For this, water supply systems have a backlog demand in digitalisation, as control systems and decisions for regulation processes are often not automated. Using digital twins and AI, these control processes will be supported and thus simplified in the future in the aKtIv project.
Objective and Approach
For this purpose, the digital twin maps the water supply system in the cyber-physical world. To create the digital twin, data is collected from wireless sensors and used for training and evaluation of artificial intelligence. From the AI-based forecast of the available and required amount of water, the project will develop and install an innovative, agile network control using networked actuators and sensors in a demonstration area.
Through the linkage, it is possible to record the system status in real time and to detect crisis situations at an early stage and thus be able to regulate them better. THL is designing, supporting and evaluating the real-time data infrastructure based on robust wireless networks for the Internet of Things. Agile network control is being developed with the help of a digital twin and decision support system. The aim is to increase the resilience of the drinking water supply.
Project partner | Founded by | |
Wasserversorgung Rheinhessen-Pfalz GmbH, Bodenheim
|
| Bundesministerium für Bildung und Forschung (BMBF)
|
