Performance, cost, and risk
What are the performance, cost, and risk impacts of implementing this product?
- Performance: Enable degradation forecasts, even on large-scale networks, to enable evidence-based decisions. Furthermore, local-level analysis can be done through image processing.
- Cost: Degradation models can be used to optimize long-term maintenance programs and reduce life cycle costs.
- Risk: Users of the product should be aware that average failure behaviour is predicted, so ‘predictions’ given by the tool do not always hold for individual units. Therefore, the tool should be used conservatively.
Implementation requirements
What capabilities would a business/organization/institution need to have to implement this product?
- Processes: Established procedures for coding damage and its severity based on industrial standards (e.g., EN13508).
- Resources: Information of every pipe length of the analysed network (such as construction material, shape, flow content). Historical degradation data of the pipes.
- Competences: Because an intuitive interface is not available, the product would currently require training or an external third party to use.
- Technologies: Visual inspection technologies, sewage network mapping systems.
Related works
- Jimenez-Roa, Heskes, Tinga, Molegraaf, and Stoelinga (2022). Deterioration Modeling of Sewer Pipes via Discrete-Time Markov Chains.
- Jimenez-Roa, Tinga, et al. (2024). Comparing Homogeneous and Inhomogeneous Time Markov Chains for Modelling Degradation in Sewer Pipe Networks.
- Berkhout (2024). Multi-Label Classification for Sewage Pipe Anomalies (Thesis).
Contact information
For further inquiries regarding this product, feel free to get in touch with:
- Mariëlle Stoelinga, University of Twente. m [dot] i [dot] a [dot] stoelinga [at] utwente [dot] nl
- Tiedo Tinga, University of Twente. t [dot] tinga [at] utwente [dot] nl
