Predictive Maintenance 

Okay so I have written about predictive maintenance quite a lot actually - both in water and quite a lot in renewable energy especially before joining kraken. The way it all happened was like some kind of a miracle beyond my wildest imaginings tbh - one minute I was researching AI in renewable energy and knowing it was my life purpose. Three months later I was hired to an AI project and then got put in an AI team. It still blows my mind really - honestly. This is such a beautiful example of how the universe works.

If you do something out of love but like really really out of love then everything will work out for you. You will not be able to believe the miracles in your life. I never planned to work in AI. But it seems that AI wanted me there. More importantly I think that utilities and water and renewable energy really wanted me there. This is what I argued every week during my meetings.

Because when I turned 30 I felt that the pylons were happy. That they had had my love for 30 years.

Right. What do my notes about predictive maintenance say?

Predictive Maintenance

The key of predictive maintenance is to be proactive. So it is about spotting leaks and anomalies before they happen and preventing water loss. As water leaks and water loss at a major scale are one of the biggest concerns of our time. I really cannot stress this enough. So when we flag leaks and anomalies straight away. We can take immediate action. And help enforce maintenance as fast as we can.

Optimising pressure and flow monitoring are also a big part of this.

But predictive maintenance doesn’t just do this. 

It takes it a step further. It looks for signs of when a leak might happen. 

And then it also works with scheduled jobs in the system to shuffle them around to move scheduled maintenance jobs so that the job with the highest risk of a leak is worked on first

It makes sense doesn’t it yes thank you