Supporting Sewer Inspection and Investment Strategies (SEMA-Berlin-1)

Test and selection of a model approach in terms of prediction quality of sewer deterioration models

Recent studies about wastewater infrastructure in Germany show that current investments for sewer rehabilitation are not sufficient to tackle the aging and deterioration of the networks. In order to determine the extent of the damages and to support sewer rehabilitation planning, regular CCTV inspections are conducted. However, CCTV data are insufficient for the long-term definition of asset management strategies, since they deliver only a snapshot of the sewer condition at the time of its inspection.

To forecast the evolution of the system according to current and past observations through CCTV inspections, sewer deterioration models have been developed. These models can also be used to simulate the condition of non-inspected pipes. The results can be used to determine sewer inspection and cost-effective rehabilitation strategies.

Deterioration models are not commonly used by wastewater utilities, since there was still no evidence that the models were actually able to accurately predict future sewer conditions. Within the project SEMA, carried out by KWB from 2012 to 2015, this gap was closed. Based on a comprehensive inspection data set from the city of Braunschweig, Germany, the capability to reproduce the condition distribution of the sewer system has been successfully demonstrated.

Within the scope of SEMA-Berlin, these promising results will be verified with Berlin local data. After a thorough analysis of the sewer condition and its influencing factors, several statistical and data-driven modelling approaches will be tested to evaluate their prediction quality in Berlin, a crucial step for the further use of sewer deterioration models.


Selected publications produced in the SEMA-Berlin-1 project are available here.




Press and Media

  • Die Digitalisierung der Wasserver- und –entsortung bietet viele Chancen. Ein Interview mit Edith Roßbach, Geschäftsführerin am Kompetenzzentzrum Wasser Berlin.
  • Die Berliner Wasserbetriebe und das Kompetenzzentrum Wasser Berlin haben ein Modellwerkzeug entwickelt, mit dem sich die Alterung von Abwasserkanälen simulieren lässt. Durch das Verbinden datenbasierter statistische Verfahren mit künstlicher Intelligenz lassen sich Investitionen deutlich genauer steuern.
  • Mit künstlicher Intelligenz unterwegs im Kanalsystem – Innovationspreis für Simulationswerkzeug zur Kanalalterung verliehen

    Die Berliner Wasserbetriebe und das Kompetenzzentrum Wasser Berlin haben ein Mo-dellwerkzeug entwickelt, mit dem sich die Alterung von Abwasserkanälen simulieren lässt. Erstmals haben Forscher beider Häuser datenbasierte statistische Verfahren mit künstlicher Intelligenz verbunden. Mit dem Ergebnis lassen sich Investitionen deutlich genauer steuern. Dafür wurden sie nun mit dem renommierten Innovationspreis des Verbandes kommunaler Unternehmen (VKU) ausgezeichnet.
  • Das Kompetenzzentrum Wasser Berlin berechnet Daten zur Inspektion, Instandhaltung und bedarfsorientierten Investitionsplanung der Berliner Kanalinfrastruktur.

More information

  • Doctor´s degree for our KWB-colleague Nicolas Caradot!

    Topic: The use of deterioration modelling to simulate sewer asset management strategies

    Congratulation to our KWB colleague Nicolas Caradot! In…

  • 5th EURO-SAM Workshop in Innsbruck, Austria

    11 – 12 June 2018

    University Innsbruck, Palais Claudiana, Herzog-Friedrich-Straße 3, 6020 Innsbruck, Austria

    The 5th edition of the EURO-SAM workshop will be hosted by University of Innsbruck. Similar to the…

  • Predicting the Aging of Sewer Systems with Visual Computing and Special Models

    13 July 2017 5:00pm7:00pm

    Hosted by: CINIQ Center for Data & Information Intelligence of Fraunhofer Institute for Telecommunication, Salzufer 6 / Eingang Otto-Dibelius-Strasse, 10587 Berlin

    Please refer to the German page