What about contamination in the water?With artificial intelligence, it's done in 200 seconds.

[Anchor]
It is expected that securing alternative water resources to solve the water shortage problem will accelerate.

Korean researchers have reduced the time it takes to predict the concentration of ions present in contaminated water by 1/100 using artificial intelligence.

This is reporter Park Na-yeon.

[Reporter]
People are holding buckets and lining up to receive water.

It is dirty water that is not properly managed, but even this is precious to them.

This is because more than a quarter of the world's population, 2.2 billion people, suffer from water shortages.

To solve these problems, research on securing alternative water resources such as seawater desalination, rainwater reuse, and sewage irrigation projects is active.

Electrochemical-based water production technology is being used because it is relatively simple to introduce technology.

However, existing water quality measurement sensors infer water quality conditions by electrical conductivity, so there is a limitation in that the concentration of ions in the water cannot be known individually.

Researchers in Korea have created a technology that can observe the concentration of ions in water individually by applying artificial intelligence.

After immersing the sensor in water and shaking it a few times, the water pollution level immediately appears on the screen.

The developed model can track the concentration of ions in water with only current and voltage data, making it relatively simple to operate and less expensive.

In addition, the time it takes to analyze was drastically reduced from 6 hours to 200 seconds by about a hundredth.

[Kim Hu / KIST Ph.D. Researcher (first author): By applying a model that can predict the results with only some data, we wanted to develop a technology that can help spread electrochemical desalination techniques widely.]

The researchers predicted that this model could also be applied to tracking pollutants at industrial sites.

[Son Mun / KIST Material Circulation Research Group: If it is applied to the national water quality automatic monitoring network, I think it can be extended to research where the public can see the water quality forecast as they see the weather forecast.]

We plan to continue follow-up studies so that the model developed can be applied to national water quality management systems such as water and sewage treatment.

The results of the study were published in the international journal Water Research.

I'm Park Nayeon of YTN Science.


Video coverage: Kim Young-hwan