Risk Driven Analysis of Maintenance for a Large-scale Drainage System

Abstract

Gully pots or storm drains are located at the side of roads to provide drainage for surface water. We consider gully pot maintenance as a risk-driven maintenance problem. Our simulation considers the risk impact of gully pot failure and its failure behaviour. In this paper, we focus on two factors, the issue of parked cars and up-to-date gully pots status information, that may affect the scheduling of maintenance actions. The aim is to discover potential investment directions and management policies that will improve the efficiency of maintenance. We find that the “untimely system status information” is a dominant factor that weakens the current maintenance. Low-cost sensor technique could be a good development.