Intelligent Sewer Management with ISAM
Challenges
Municipal network operators face the difficult task of dealing with inspection data collected over decades that is often inconsistent, incomplete or incorrect. Different standards and coding systems make it difficult to reliably assess the condition of the entire network. Until now, correcting this data has involved a great deal of manual effort. Without a precise data basis, there are no reliable forecasts of network ageing and actual loss of substance, which makes investment decisions and maintenance strategies inaccurate and hinders forward-looking renovation planning.
Solutions
With ISAM, IBAK is developing a web-based process chain that uses artificial intelligence to turn data into a reliable basis for decision-making:
- Automated checking and correction: Master data (such as material type, pipe dimensions or year of construction) are automatically checked for plausibility and corrected.
- 3D reconstruction: High-resolution 3D surface models (meshes) are created from inspection films in order to precisely capture geometric characteristics such as deformations. ➔ Watch the video on the mesh view here
- Prognosis models: Based on a representative data set, the future substance and value development of sewer systems is simulated.
Results
The use of ISAM transforms sewer management from a reactive ‘firefighting strategy’ to a forward-looking planning tool:
- Cost-effectiveness: Technical deterioration is translated into concrete monetary replacement values, which makes it easier to prioritise measures.
- Efficiency: The manual effort required for data preparation is drastically reduced, while planning accuracy increases. In addition, users can identify hotspots at an early stage and secure budgets for the long term in an impact-oriented manner.
- Holistic approach: From individual assets to the entire network, condition and substance classes are visualised graphically on a uniform platform.
- Prognosis quality: Validations show a high degree of consistency between the predictions and the actual network condition.
See for yourself with a product demo: ISAM in practice
Take advantage of this opportunity to test the functionality of our toolbox with your own subnetwork data, with no obligation.
