A complicated undertaking
One of 25 water authorities in the Netherlands, Delfland has to perform a Water System Analysis (WSA) every six years to ensure water meets the quality standards laid out by statutory regulations.
Historically, the process took Delfland a long time. Data had to be manually collected from a ledger containing all the separate elements of the system, from weirs and culverts to pumping stations and so on.
The process of manually searching for this data was also error prone. And if the data proved to be incorrect, it couldn’t be modelled as part of the WSA assessment. Which meant valuable time was often spent with no meaningful return.
Delfland needed to take control of its data quality and accelerate the process of gathering and analysing its data. So, the water authority turned to us for assistance.
Automating data collection and modelling
To help Delfland’s management team improve both efficiency and data accuracy, we designed a new system that automatically checks current data, future data and new measurements by subjecting it to a group of quality rules.
These rules are based on expert knowledge and simulate the manual tests hydrologists would perform themselves. However, in automating these tests and removing any potential for human error, the system guarantees the accuracy of the results, meaning no time is lost identifying and updating incorrect values when conducting the WSA.
We then expanded this system with extra rules for the data management team, allowing them to check aspects that aren’t necessarily important for a WSA, but can still provide important insights – like the position of a weir on the boundary of two water level areas, for instance.
Together, this package of rules provides an overview of Delfland’s entire data management system, delivering visualisations through Microsoft Power BI so engineers and managers can identify problems at a glance and take the necessary actions to rectify them.
In addition to this, we also built a new data pipeline, that ensures any new data is in accordance with existing requirements. This information is then automatically complied into a report that shows which data can be safely included in the new system.
The benefits of change
With the new system, Delfland has greater control over its data, can gather it much more quickly, and has far simpler processes to help manage and analyse it.
The result is that hydrologists now have the insights into data quality they need to identify and mitigate problem areas, while managers can track changes over time with easy to interpret visualisations.
The image below, showing an example of a dashboard for newly measured weirs, is a good example of this. The dots in the map on the left illustrate data quality. While the table on the right shows all the problems the system has identified.