Water Loss in Water Systems (and AI)

We all know that water gets lost in bigger quantities in larger water systems. Right? 

This can be caused by: 

• Aging infrastructure
• Leaks
• Storage overflows - if there is too much water in the storage container than this will overflow as well - kind of like if we have too much going on we will become overwhelmed
• External interference - construction or road works can damage water infrastructure
• Extreme events - natural disasters like earthquakes and floods can damage our water infrastructure

AI can allow us to monitor this data in real time and use predictive models to simulate future leaks. When we know how infrastructure is expected to work, we can spot things in real time before they escalate. For example, if unusually high consumption is spotted in a certain area of the network then there is a sign a leak is going on.

Simulating models can also help us to build better infrastructure in the future. The more data we have for this the better. As we can factor it in to our models and integrate it with other things like seasonality, like weather and like DEMOGRAPHICS!!!. ❤️

We can also use acoustic sensors to spot maintenance faults. With AI, we can integrate this with scheduled jobs to bring these jobs forward and swap them for planned repair works, thus saving money. Intervening in water faults quickly helps save lots of money as well. And it is best for conserving water. As the need for water grows and grows, conserving it and preserving every last drop will become more important than ever. More preserved water means more safe drinking water and more water for our plants, our homes and our hygiene. As well as for industrial processes and agriculture.

Again, I cannot stress the enormous quantities of water that can be lost when water is lost at an industrial scale.

The wars of our future will be water wars. Let's avoid them.

Let's do our very best by conserving all the water that we possibly can - and protecting it and treating it. New article coming tomorrow - thanks.