Flow Data Based DMA Characterisation
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Document typeConference lecture
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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.
CitationGrau, S.; Perez, R. Flow Data Based DMA Characterisation. A: International Computing and Control for the Water Industry Conference. "7th International Computing & Control for the Water Industry Conference, University of Exeter, UK 1st-4th September 2019: extended abstracts". 2019, p. 1-2.
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