Author(s): Yang Fu; Wenyan Wu
Linked Author(s):
Keywords: Wireless Sensor Network; Internet of Things; Water distribution; Modelling; Framework
Abstract: The Wireless Sensor Networks (WSNs) and their systems are widely and increasingly applied in the pipeline network. They are helping engineers to solve problems about monitoring, control networks, enhancement of management and planning. However, regarding to the characteristics of large scale water distribution system, it will be hard to apply WSNs to guarantee data acquisition and communication safely if any nodes have transfer problems. And as the WSNs are relatively small and close networks, the WSNs systems are not sufficient to collect other kinds of data which could also influent the water distribution systems’design or operation like behavioural, social, economic and social-domestic data etc. These drawbacks for WSNs drive the upgrade of their systems into Io Ts (Internet of Things) .This paper particularly reviewed and evaluated the current WSN’s strengths and weakness of the water industrial applications. This study presented an application framework using Io T technology in water distribution area as an Io Ts application for water. The framework is expressed by five layers to offer an opening network for management, the solutions of analyzing data and the method to use data properly. The Io Ts application framework can be enhanced for the pressure of pipeline network management, pump operation optimization, leakage control or prediction, serge pipeline network and water resource management as well. Also, the Io Ts application framework will benefit for comprehensive optimization for water supply and distribution system from the resources until taps of household, including water quality, pressure, construction background of the pipe, social, and behavioural data etc. Combined with effective data analytical methods, the Io T framework provides intelligence to improve efficiency, communication and engaging for customers with developing new water management strategies.
Year: 2015