Sponsor NWO | STW, Stichting Rioned;
Candidate Hengameh Noshari; Aug 2017 -
RSewage systems are one of the largest and most capital-intensive infrastructures among urban assets. Traditionally, sewer maintenance tasks were conducted by making a direct access to the pipes and by sending human inspectors inside the pipes when possible. Emerging technologies in the late 20th century, however, provided an opportunity to revise the methods in sewage asset management. Ever since, in-pipe visual footage has been the main source of information for decision makers. Beside being a tedious and cumbersome task for the human operators, visual inspection does not always lead to an accurate result; whereas determining the exact service life of the pipe-lines decreases the rehabilitation costs significantly. Hence, there is an urgent need for investigating more time-efficient and error-prone methods for sewage condition assessment.
"Assessing Sewage Condition", which is defined as a 4 year PhD project within the TISCALI project, aims to:
Locally quantify the sewer condition by means of in-pipe robotic inspection; therefore trying to answer:
What are the physical properties of a pipeline that should be examined?
How can the required physical properties be measured?
How can the functional properties of sewer pipes be measured?
What is a defect?
What are the categories in which the defects can be classified?
How can quantification of physical and functional properties be used in categorizing the defects?
Build a smart subsurface information system or toolkit that supports objective sewer condition assessment; which is an attempt to answer:
What are the use case scenarios?
Which data management strategy should be employed?
Which software architecture should the system be based upon?
How “smart” should the information system be?
How can the results of TIR, GPR, and in-pipe inspection be combined?