Flow Data Based DMA Characterisation
| Autor: | Grau Torrent, Sergi|||0000-0003-1192-1430, Pérez Magrané, Ramon|||0000-0002-9216-4234 |
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| Přispěvatelé: | Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial |
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: | |
| Zdroj: | UPCommons. Portal del coneixement obert de la UPC Universitat Politècnica de Catalunya (UPC) |
| Popis: | Data in water companies have been collected since sensors (level, pressure, flow, Temperature, chlorine concentration, etc.) have been gradually introduced. Supervision and control of processes were the first drivers of this introduction. In the last decade the evolution of sensors, communications, data management and data analysis suggest the revolution of industry 4.0 that has its counterpart in utilities 4.0. The first challenge of such revolution for assuming the utility is to adapt the cutting edge methodologies to the existing technologies in its system. This work focusses in the analysis of the existing sensors, in particular flow sensors, in order to use them intensively for a more intelligent water network management. Flow sensors are abundant in a water network. Their purposes are not unique and using the data, produced by themselves, can be helpful for characterising them. Once the sensors are characterised the data received from them can be more easily validated and reconstructed. |
| Databáze: | OpenAIRE |
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