Our seminar series is free and available for anyone to attend. Unless otherwise stated, seminars take place on Wednesday afternoons at 2pm in the Kilburn Building during teaching season.

If you wish to propose a seminar speaker please contact Antoniu Pop.


Knowledge-based engineering: challenges for computer scientists

  • Speaker:   Dr  John Brown  (WRcplc)
  • Host:   John Brooke
  • 29th May 2013 at 14:00 in Lecture Theater 1.3
WRc and the University of Manchester are currently collaborating in the area of `Smart Water Networks?. This is based mainly on ongoing work at UoM to develop a technical architecture for real-time hydraulic and water quality simulation models and decision support tools. Following recent testing of the software using data provided by the Thames Water, the UK?s largest water company, further practical trials are planned to evaluate and demonstrate the system in a real-world environment. The need for automatic validation of sensor data has been identified to avoid the garbage in-garbage out effect. The use of telemetry in the water industry has evolved rapidly in recent years in response to changing business drivers. Water companies are continually striving to increase operational efficiency and improve their capability to respond proactively; this requires better insight into process/network behaviour and understanding in real time to enable more effective, risk-aware decision making. Companies are increasing real-time visibility and control of water and sewer networks and treatment processes, and are starting to deploy advanced, data-driven technologies to create `smart water networks?. However, this increasing reliance on telemetry is also increasing the need to ensure adequate levels of data quality. The sheer scale and complexity of water industry telemetry systems presents a major data quality challenge. WRc is currently carrying out a water industry collaborative project to increase awareness of the issues and provide practical guidance on improving telemetry data quality. John will provide an overview of this work as a starting point for discussion with UoM on possible further collaboration in this area.
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