Abstract
The optimal management of a potable water distribution system requires the control of the reference (standard) data, the control points, control of the drainage parameters (pressure, flow, etc.) and maintenance parameters. The control of the mentioned data defines the network learning process [1]. Besides classic IT functions of acquisition, storage and data processing, a geographical information system (GIS) can be used as the basis for an alarm system, allowing one to identify and to localize the presence of water leaks in the network [2]. In this article we propose an algorithm coupling the various drainage parameters for the management of the network. The algorithm leads to an optimal management of leaks. An application is in progress on the primary network in the region of Bonaberi in Douala, the largest city of Cameroon.
Highlights
Drinking water is a precious raw material [3]
In view of the amounts spent on obtaining, treating and transporting water, the economic stakes [7], and the quoted social and cultural facts, it is important to minimize the volume of water lost to leaks
This suggests the usage of an algorithm, as an indispensable tool for the optimal management of a potable water distribution system
Summary
Drinking water is a precious raw material [3] It is an economic and strategic stake in the world [4], that is increasingly reaching crisis status as we are consuming more fresh water than the planet procduces. In view of the amounts spent on obtaining, treating and transporting water, the economic stakes [7], and the quoted social and cultural facts, it is important to minimize the volume of water lost to leaks. This suggests the usage of an algorithm, as an indispensable tool for the optimal management of a potable water distribution system.
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