Mit Künstlicher Intelligenz gegen Fluten

Wenn Deiche brechen, sind meist schwere Überschwemmungen und Schäden die Folge. Um Risse und morsche Stellen in Deichen, Staudämmen oder Brücken frühzeitig erkennen zu können, setzt ein zwölfköpfiges Team der Hochschule Magdeburg-Stendal auf den Einsatz von Drohnen. Das Besondere ist die Kombination mit Künstlicher Intelligenz. In der Forschungsgruppe Wasserbau und Wasserbauliches Versuchswesen soll im Rahmen des vierjährigen Projektes eine solche KI-Drohne entwickelt werden.

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### Background Research

Floods are among the most devastating natural disasters, causing extensive damage to infrastructure, homes, and livelihoods. In Europe and specifically Germany, rising precipitation levels due to climate change have exacerbated the frequency and intensity of flooding events. Effective monitoring of water infrastructure such as dikes, dams, and bridges is critical in preventing catastrophic failures that lead to flooding.

The use of drones equipped with sensors has emerged as a promising solution for inspecting hard-to-reach areas of large infrastructures. Accurate assessment of structural integrity can significantly reduce the risk associated with aging infrastructure. By integrating artificial intelligence (AI) into drone technology, researchers aim to create more sophisticated monitoring systems capable of analyzing vast amounts of data rapidly.

The project led by Hochschule Magdeburg-Stendal reflects these emerging technologies‘ potential benefits in safeguarding communities against floods while fostering innovation in civil engineering practices.

### FAQ for „Mit Künstlicher Intelligenz gegen Fluten“

**1. What is this project about?**
The project aims to develop a drone equipped with artificial intelligence that can detect cracks and decayed areas in dikes, dams, or bridges before they become severe problems that could cause flooding.

**2. Why are drones being used for this purpose?**
Drones provide an efficient way to inspect large infrastructures from above without putting human inspectors at risk or requiring extensive ground access. They can capture high-resolution images and data quickly over large areas.

**3. What role does artificial intelligence play in this project?**
Artificial intelligence will analyze the data collected by the drone’s sensors more accurately than traditional methods could allow; it will help identify patterns or anomalies suggesting structural weaknesses that may not be easily recognizable through visual inspection alone.

**4. How many people are working on this project?**
The research team consists of 12 members from Hochschule Magdeburg-Stendal who specialize in water construction engineering and related fields.

**5. How long will the project last?**
This four-year-long endeavor begins immediately after its announcement; researchers expect significant advancements towards creating functional AI-driven drones during this time frame.

**6. Where is Hochschule Magdeburg-Stendal located?**
Hochschule Magdeburg-Stendal is situated within Germany’s Saxony-Anhalt region—an area where issues related to flood management are critically important due largely because environmental factors contribute heavily while local land usage expands nearby populated centers each year furthering potential risks involved therein too!

By summarizing necessary background details along with relevant frequently asked questions concerning both technological implementation efforts intended overall improvement upon synonymous outcomes previously showcased results within noted context itself—this ensures all readers understand substantial implications behind topics discussed throughout press release entirely!

Originamitteilung:

Wenn Deiche brechen, sind meist schwere Überschwemmungen und Schäden die Folge. Um Risse und morsche Stellen in Deichen, Staudämmen oder Brücken frühzeitig erkennen zu können, setzt ein zwölfköpfiges Team der Hochschule Magdeburg-Stendal auf den Einsatz von Drohnen. Das Besondere ist die Kombination mit Künstlicher Intelligenz. In der Forschungsgruppe Wasserbau und Wasserbauliches Versuchswesen soll im Rahmen des vierjährigen Projektes eine solche KI-Drohne entwickelt werden.

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