Streamline: Forecasting the Effects of Maintenance and Renewal Policies
Advanced Analytics | Custom Analytics + Software Solutions | Data Visualisation + Reporting Solutions
The Streamline solution opens the door to smarter data-driven maintenance and renewal policies for water distribution assets.
The Challenge
Water distribution networks across the country are approaching end-of-life, leading to increased maintenance costs and deteriorating service. Considered pipe investment and renewal schedules are hence crucial to managing competing factors like network condition and financial feasibility. Unfortunately, low data visibility and immature data analysis tooling often means that understanding renewal decisions and their impacts can be both difficult and time-consuming.
Current industry-standard methods call for replacing pipes near estimated end-of-life based on their material alone. By using statistically-driven models, additional asset information can be incorporated so that pipes with useful life remaining are less likely to be replaced and rapidly deteriorating pipes are better targeted.
The Solution
Harmonic developed Streamline to forecast maintenance budgets and probable unexpected expenditure. Combined with tweakable renewal policy parameters, water industry experts can very quickly compare and adjust different policies and see their effects decades down the line. This facilitates balancing investment into asset maintenance in the present and incurred costs in fixing pipe failures in the future.
Streamline implements a range of policy types, the core being: an age-based approach as a baseline, and a data-driven policy based on asset data and prior failure history. It also has the ability to incorporate engineering based policies if desired. As the user adjusts the policy parameters by the criticality of the pipe assets, the solution dynamically produces forecasts for:
- Annual and cumulative replacement costs
- Written-off asset values
- Network statistics like the distribution of pipe ages
It also produces the expected cost of pipe failures, produced by analysing hundreds of potential future scenarios.
The tool helps asset planners’ large-scale strategic decision-making by including geospatial visualisations at whole-network scales, allowing rapid identification of problematic network sections, locations of interest, or regions of cost intensification due to urban development. To help identify and incorporate risks, these visualisations also support overlays of areas prone to liquefaction or floods, fault lines, and others.
The Result
- Reduce time spent understanding the consequences of a given policy.
- Rapid feedback on which policy parameters are most significant to level-of-service outcomes.
- Facilitate long-term decision making by highlighting long-term costs of immediate decisions.