If you notice unexplained wet spots around your home or water usage is increasing unexpectedly it could be a sign of leaks. It’s important to get these fixed before they become worse as it can lead to costly repairs such as flooding and structural damage.

A variety of Lightwater Leak Detection are available to tackle this problem including hardware and software solutions. Hardware techniques involve the installation of specialist industrial tools that are able to detect noises caused by escaping water such as hissing and whooshing. These can be used to pinpoint the exact location of a leak but come with drawbacks including cost, power consumption and difficulty in identifying the source of the problem.

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Software-based methods involve the analysis of hydraulic data to detect leaks. These can be based on image processing, data analysis and machine learning algorithms. They also have the advantage of being able to identify the source of a leak, such as the service line that connects your property to the public water main which is particularly susceptible to damage.

A number of purely data-driven methods have been developed in recent years. These typically combine detection and localization using a set of constraints that satisfy both the interval model and sensor measurements. A good example is the work by Vrachimis, Timotheou, Eliades and Polycarpou (2021). This method handles detection via identification of inconsistencies between a healthy interval model and the measurements over several time instants, while localization identifies locations that accomplish the constraints of the re-formulated interval model by iteratively checking the feasibility of an LP problem.