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You are here : eLibrary : IAHR World Congress Proceedings : 32nd Congress - Venice (2007) : THEME B: Data Acquisition and Processing For Scientific Knowledge and Public Awareness. : Fuzzy logic for prioritizing sewer line maintenance
Fuzzy logic for prioritizing sewer line maintenance
Author : Del Giudice Giuseppe, FarinaLuca
Any correct management of urban drainage systems should duly include a maintenance plan to be implemented on the various sewer lines of the network at regular intervals. An optimal prioritization of operations will ensure higher system efficiency and minimal recurring failure and relevant repair. This paper shows the first results of an ongoing research into an approach to schedule urban drainage systems preventive maintenance in terms of both time and location. In particular, the structure of a fuzzy inference system whose purpose is to assess the efficiency (condition) of the various lines of the network based on intrinsic and extrinsic system parameters is set out. The approach is then applied to a study case, namely Naples drainage system, and finally discussed by comparing the results thus obtained with the location of the failure which have been recorded in town so far and ascribed to malfunction of the drainage system.
File Size : 127,252 bytes
File Type : Adobe Acrobat Document
Chapter : IAHR World Congress Proceedings
Category : 32nd Congress - Venice (2007)
Article : THEME B: Data Acquisition and Processing For Scientific Knowledge and Public Awareness.
Date Published : 01/07/2007
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