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CustomerTasWater

IndustryUtilities

Integrations• OSIsoft PI System

• Seeq Software

• Nukon Notifier

Use Cases• Asset Monitoring

• Predictive Maintenance

Business ResultsOnline sewer blockage detection system proof-of-concept developed, state wide trials to commence. The analytical model is able to detect a partial blockage event 13 hours ahead of current methods based on available historical data.

Predictive Blockage Detection

Challenge Managing sewer blockages and subsequent spills that occur in the mains system

• Often the first notification of a spill comes from a member of the public, hours and sometimes days after the first spill. This can intensify public health and environmental impacts and the cost of clean-up efforts.

• Following a sewer spill at an environmentally significant site at Midway Point in August 2017, TasWater sought a way to reduce the likelihood and impact of spill events occurring in the future.

Solution • Having previously worked with TasWater on its process historian data management

system, Nukon was asked to identify and produce a proof-of-concept for an online sewer blockage detection system.

Blockage model development:

• The model was developed and tested using data from the Midway Point spill event in August 2017. The goal was to see if the model could detect the blockage faster than current methods.

• First it was determined that the best indicator of a blockage event was in ‘The Time Between Pump Runs (Time to Fill)’. “Time to fill is basically the time it takes for sewage to fill a wet well and alert the pump to start running, effectively clearing the well of waste,” Nukon Senior Consultant Andrew May said.

• Using historical data, Nukon identified the fill and pump run behavior for two different profiles: on-peak & off-peak, and weekends & weekdays. ‘Normal’ fill and pump behavior during these periods was identified for the SPS site.

• The model identifies blockages by detecting the absence of ‘normal fill and pump behavior’ in real-time. For example, the absence of pump runs or extended fill time during peak times would signify an abnormality and possible blockage.

The solution has already demonstrated value in detecting abnormal operating conditions in the sewerage network trial area beyond the capability of previous methods.

-Matt Jordan, Manager Network Asset Performance, TasWater

Predictive analytics set to prevent spills and save the environment

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Results Model detects blockage 13 hours before spillage:

• Using the August 2017 blockage event, Nukon validated the model as an accurate, reliable and fast method of identifying potential blockages.

• The on-peak/off-peak profile detected the historical blockage 13 hours before the time it was reported by a customer, with zero false positives. The model has the potential to avoid spill incidents by providing real-time early warning for field teams of statistically significant partial or full blockages in the sewer network.

Industry-first sewer blockage detection system is developed:

• Given its superior performance, the on-peak/off-peak model was selected for the online sewer blockage detection system and applied to each SPS in the Midway Point region. Each site’s specific behavior, deviations and grace periods were accounted for to reduce false positives.

• “The solution is integrated with PI notifications for early alerting, allows for fast time-to-insight on time-series data, reduced time spent in spreadsheets, and process improvements leading to better operating efficiencies,” Mr May said.

About the Customer TasWater, Tasmania’s primary water and sewerage network provider, manages more than 200,000 water connections and 176,000 sewerage connections across the state.

About Seeq Seeq® is a visual analytics solution for process manufacturing data.

Seeq’s multiple applications enable users to rapidly investigate and share insights from data stored in enterprise data historians—such as OSIsoft PI, Honeywell PHD, and GE Proficy—as well as contextual data sources such as SQL Server, Oracle, and MySQL. Typical tasks benefitting from Seeq include data wrangling, production analytics, and reporting. Users include process engineers, data scientists, plant managers, and operations staff.

Plant engineers and subject matter experts (SME) use Seeq to analyze and improve production outcomes. Seeq’s support for time series data and its challenges – connecting, displaying, interpolating, cleansing, and contextualization as examples – relieves engineers of hours and days of futility spent finding insights in process

manufacturing data. Seeq enables engineers to get more value from data already collected, and enables organizations to access and execute on those insights. NUKON

www.nukon.com.au1300 909 360info@nukon.com.au

Seeq Corporation1301 2nd Avenue, Suite 2850 Seattle, WA 98101www.seeq.com | (206) 801-9339

About Nukon Nukon brings together expertise from optimisation and automation, to transform data into actionable whole-of-business insights: from the supply chain to operations, the shop floor, IT, engineering and the enterprise system – fully integrated pan-business optimisation.

Nukon enables teams to perform at their best, make better decisions, discover new improvements and create organisation-wide impacts with solutions including Supply Chain Optimisation, Situational Awareness, Business and Operational Intelligence, Manufacturing Operation and Execution Systems, Serialisation, Inventory Management and Material Tracking, Planning and Scheduling, ERP Program Management and Through Life Support.

Nukon helps clients understand and implement their strategic vision, to deliver innovative and awesome projects.