Artificial Intelligence (AI) Contribution to GIS in Optimal Positioning of Hydrophone Sensors Using Genetic Algorithm (Case Study: Water Network, Casablanca, Morocco)

摘要

All over the world, potable water networks suffer from substantial leaking which may occur in places that are hard to locate. In addition to economic loss, there is potential hazard of epidemics. Thus, real time detection and hence fixing water leaks is essential for an efficient distribution network. Hydrophone sensors come in handy thanks to their ability to detect leaks. Nevertheless, a comprehensive covering of the network is impossible financially. This leads to searching for an arrangement of sensors to have an optimal coverage of distribution network. Linear search for optimal solutions in big networks breaks into an explosion of calculations which is unpractical in terms of resources allocation and time execution. We present how artificial intelligence (AI), and especially genetic algorithms (GA), offer both efficient and fast ways of figuring out the best disposition of sensors for an optimal coverage of the water network.