A data-driven approach to locating leakage
Arm leakage technicians with data-driven insight into:
Assets most likely to fail
Contributing factors for failure
The asset location
Real-time data analysis
Reduce cost by reducing the time taken to identify and repair failing assets
Utility networks transport precious resources, meaning loss of product is not only detrimental to the utility business but the community they serve. There is an increasing pressure on utilities to reduce the amount of product lost and improve reporting as we collectively move towards a target of ‘zero leakage’. This expectation comes from both the public and the regulators. For example; Ofwat has challenged all water companies in the UK to meet ambitious leakage reduction targets of at least 15% by 2025.
As each utility network covers large geographic areas, the network is typically divided into district metered areas (DMA) or network zones. Loss of product is typically calculated by these smaller network zones, rather than at a total network level. This makes the challenge much easier to manage operationally, report on and ultimately solve.
However, this approach only takes the utility so far. Once it has identified a network zone or DMA that has a high level of leakage, they then need to locate and repair the faulty asset. Leakage engineers often have large areas to investigate, but the point of impairment is likely to be small, meaning that it could take several days to detect the leak. 1Spatial can provide leakage engineers with a solution to help them locate leaks as quickly as possible, and so reduce cost and potential disruption to the customer.
1Spatial has proven that the time taken to identify a leak can be reduced by using real-time, quality-driven data. 1Spatial’s Leakage Solution provides a data-driven approach to identifying assets that are at risk of leaking or losing product. By giving an organisation insights on their data, it makes it easier to manage the information and ensure best practice.
The solution uses 1Spatial’s rules-engine to quickly identify the location of assets that are most at risk of leaking. It does this by calculating a rating based on attributes such as soil type, asset age, asset material, burst history etc. which have proven impacts on the health of a water pipe. The rules driving the solution can be a combination of data-driven (using machine learning to interpret historical data) and experience led (additional rules designed by your experts). 1Spatial has found that this hybrid approach is not only more effective but is more easily accepted by the users.
The results can be displayed on a mobile app or desktop device, providing real-time information to leakage engineers. Instead of completing a subjective assessment of the most efficient way to investigate the area, engineers will access a heatmap quickly identifying the assets with the highest propensity to leak. This saves time for all leakage engineers, especially the less experienced or those lacking local knowledge. This insight is also valuable for planning and maintenance scheduling as well as mains replacement programmes.
This easy to implement leakage solution reduces costs and time-frames of leak detection, helping to improve leakage reduction and customer service.
Utilities will benefit from a solution that combines data-driven analytics with the knowledge and experience of your subject matter experts. The solution will be designed by the users and easily accepted by leakage engineers, making a specialist role even more efficient. By reducing the time taken to detect a leak, repairs can be made faster and our precious resources are not lost. This will allow utilities to meet regulatory targets and service their customers in a more sustainable way.
If you would like to know more about how this solution could benefit your organisation, then please contact us.