FIDO Tech uses AI to analyze pipelines' acoustic signals, judging where a leak is and how severe it is, and ranks by scale so water companies know which pipe to fix first. Globally, water-supply systems lose on average 20-30% of water before it reaches users — that's the problem it aims to solve.
Features and use scenarios
Traditional leak detection relies on technicians walking the route with a listening rod, where experience decides success and which is hard to scale. FIDO feeds acoustic data to a model for interpretation, able to handle data from large numbers of sensing points and quantify leak scale — this is key, because water companies have limited resources, and fixing "the biggest few leaks" is far more effective than spreading manpower evenly. The company has real projects in several water-stressed basins.
It suits water utilities, and supply managers of parks and large venues. Taiwan's tap-water leakage rate has long been a public issue with limited pipe-replacement budget, so using data to decide priorities is more practical than building another reservoir.
Main features
- AI interpretation of acoustic signals for leaks
- Leak-scale quantification and ranking
- Continuous pipe-network monitoring
- Large-scale sensing-data processing
- Repair-priority suggestions
Common uses
- Water-network leak detection
- Reducing supply-system non-revenue water
- Park water-supply monitoring
- Water-resource management in water-stressed areas
Key Features
- AI interpretation of acoustic signals for leaks
- Leak-scale quantification and ranking
- Continuous pipe-network monitoring
- Large-scale sensing-data processing
- Repair-priority suggestions
Pros
- Turns leak detection from technician experience into a scalable process
- Quantified ranking puts limited manpower where it counts
- Has real international project cases
Cons
- Requires deploying sensing-data sources in the network
- Old networks' signal environment is complex, affecting accuracy
- Project-based collaboration, not buy-and-use software
Use Cases
- Water-network leak detection
- Reducing supply-system non-revenue water
- Park water-supply monitoring
- Water-resource management in water-stressed areas
Editor's Note
Taiwanese are used to thinking of water shortage as 'whether to build a reservoir,' but the water leaking from broken pipes each year is the easiest to reclaim.
FAQ
Compared to traditional leak detection, what's the advantage?
Traditional methods can find leaks but struggle to answer 'which one leaks the most.' When you have budget to fix only ten spots but a hundred are leaking, ranking ability is more valuable than detection ability.
Can it be used in Taiwan?
The technical principle applies, but it depends on pipe materials, burial depth, and existing sensing infrastructure. Taiwan has a high proportion of old pipes and a complex underground environment, so a small-scale trial before adoption is advised.
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