We support the digital transformation of the water sector: from autonomous data collection to the analysis and refinement of large amounts of data (Big Data), the development of assisting, automated or autonomous control systems to cyber security and knowledge transfer through the use of digital media such as augmented reality.
DATA ANALYSIS
Beyond the usage of common geographic information systems (GIS) and programming (Python), we use new artificial intelligence analysis methods such as neural networks and deep learning. Typical use cases are the systematic evaluation of large amounts of data, the generation of new information, recognition of patterns and correlations, statistical prediction models, image recognition as well as remote sensing.
WATER MANAGEMENT MODELS
In the context of modeling, the team deals with hydrologic, hydrodynamic, and hydrochemical modeling to investigate different flooding and drought scenarios and water quality developments in order to develop measures. Within the scope of our current R&D projects, we use different surface water models, water balance models, water quality models, and damage potential models.
DIGITALIZATION AS TOOL FOR SCIENCE COMMUNICATION
CRITICAL INFRASTRUCTURE
The German IT Security Act and the Kritis-Ordinance make it a legal requirement to protect critical infrastructure in various sectors, including water supply and wastewater treatment. The legal obligation to comply with the state of the art affects operators with a number of connected population equivalents of more than 500,000 inhabitants. Since security against failures caused by cyberattacks is also essential for small to medium-sized operators and their customers, FiW is working with partners on an inventory of the state of IT security for these operators and identifying the need for action to establish a secure IT infrastructure.