Call for papers: SWIG workshop on on Sensor-driven artificial intelligence for the water industry, 30 Nov 2022

February 16th, 2022

Water companies are major users of instrumentation, telemetry/ SCADA, big data and analytics and other increasingly advanced data technologies. Today’s 24/7/365 operational control centre is beginning to provide true, end-to-end water and wastewater network control and optimisation. It is a centre for risk, incident and crisis management and business continuity, and it acts as a focal point for operational information and a communication hub for the operational business. The data revolution in the water sector is providing better insight into process/network behaviour and understanding in real time, enabling more effective, risk-aware decision making and increasing operational capability to respond proactively.

However, water companies still face significant challenges in delivering improvements to customer service, the environment and cost efficiency, particularly in moving from reactive to more proactive management of service-impacting issues and further improving compliance and asset optimisation opportunities. This means anticipating performance, condition and cost avoidance opportunities and improving preventative capability, improving network agility and resilience and achieving calmer (water) networks with fewer interventions, assessing risk in real time and improving coordination and control of all system interventions. It is expected that AI will play an increasingly important role in achieving these goals.

The workshop will explore:

  • The different approaches to AI with respect to different types and sources of data.
  • The current status and future plans/aspirations for the use of AI in the water industry,
  • Specific opportunities/applications for the use of AI, and business benefits.
  • Barriers to successful implementation (e.g. business readiness/data management capability, changes to business processes and people/culture).
  • Research and AI solution development to meet future water industry requirements.

We would particularly like to hear from AI solutions providers and researchers developing new AI methodologies which could be applied in the water industry. Please send an abstract (<100 words) to rosa.richards@swig.org.uk

Deadline: 11 March 2022