Inefficient maintenance methods for infrastructure network

The inspection and maintenance of infrastructure networks, especially water and wastewater pipes, is a challenge that should not be underestimated in an urban context.

These infrastructure networks are often difficult to access, which makes regular inspections and maintenance work more challenging. Without regular monitoring, supposedly minor problems can go unnoticed and develop into major damage. This not only leads to high repair costs, but can also cause serious damage, such as roads collapsing due to flooding, which in turn causes acess downtimes, restrictions and costs. Traditional inspection methods are often time-consuming and expensive. They also do not provide real-time data on the condition of infrastructure. This means that problems are often only recognised when extensive repairs are already required or, in the worst case, consequential damage has occurred.

AI-supported, automated and digitally driven inspections, for example using robots and advanced sensor technology, could be used to continuously monitor the condition of wastewater pipes in order to detect problems at an early stage and trigger any necessary repair or maintenance work. This not only saves costs, but also prevents major damage to infrastructure networks and the environment in the context of the smart city.