Abstract
Field engineers working on water distribution systems have to implement day-to-day operational decisions. Since pipe networks are highly interconnected, the effects of such decisions are correlated withhydraulic andwater quality conditions elsewhere in the network. This makes the provision of predictive decision support tools (DSTs) for field engineers critical to optimizing the engineeringwork on the network.Wedescribe howwe createdDSTs to run on lightweight mobile devices by using the Web 2.0 technique known as Software as a Service. We designed our system following the architectural style of representational state transfer. The system not only displays static geographical information system data for pipe networks, but also dynamic information and prediction of network state, by invoking and displaying the results of simulations running on more powerful remote resources. © 2009 The Royal Society.
Original language | English |
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Pages (from-to) | 2635-2644 |
Number of pages | 9 |
Journal | Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences |
Volume | 367 |
Issue number | 1898 |
DOIs | |
Publication status | Published - 13 Jul 2009 |
Keywords
- Decision support tools
- Geographical information system
- Representational state transfer
- Simulation
- Water distribution systems
- Web 2.0