Utilities - Amalgamating NZ’s 3 Waters’ Data - Showcase
Nextspace's digital twin platform is utilized to bring together data sets from 78 different councils in New Zealand into the same format.
View transcript
The building Innovation partnership VIP is an industry-led research program focused on improving infrastructure planning and investment decision-making. We aim to use digital twin technologies and metadata standards to improve data quality, enable national reporting needs and answer resilience questions.
Our current project has an initial focus on Three Waters infrastructure assets potable water, waste water and storm water networks in New Zealand. There are 78 different councils, all with their own ways of describing and defining Three Waters assets. There is a need to combine multiple data sets from multiple councils into the same format with the end goal of creating an amalgamated data set that is large enough to provide analytics on a nationwide scale.
Bruce Administrator brings the data together, providing a single source of truth which can be communicated to a range of end users. The data is continually updated from the source so it is always current. The data remains in its native format and accessibility is customized to the individual user. Each Council has a different data schema describing the attributes of their data.
We use the New Zealand standard code of practice to create a common data schema in Bruce, to which we map all the individual council's data sets. Bruce digital Navigator provides the platform to view the data in geographical context. The result is a unified view of all of New Zealand's Three Waters data in one place where location provides the link between the asset data sets.
Data can be viewed in a consistent way on a local, regional or national scale. Potential uses of this resource now include the ability to query and automatically report on data quality, to enable streamlined planning processes, to view historical data revealing past patterns and provide predictions for the future, and linking the system to additional infrastructure and land-based information such as natural hazards for disaster planning.
Ultimately this provides a common place for people to view information, plan infrastructure developments, make investment decisions and log real-time project work.
More videos
Make data standards and ontologies to fit your business needs rather than the other way around. The Nextspace Knowledge Twin Designer helps organisations create a trusted contextual foundation for AI by connecting assets, data, documents, and systems into a single applied business ontology. Using AI-assisted analysis, the platform guides users through defining business problems, identifying key entities and systems, generating relationships and mappings, and producing an implementation-ready Knowledge Twin that supports analytics, visualisation, and operational decision making. The Nextspace Knowledge Twin Designer helps organisations create a trusted contextual foundation for AI by connecting assets, data, documents, and systems into a single applied business ontology. Using AI-assisted analysis, the platform guides users through defining business problems, identifying key entities and systems, generating relationships and mappings, and producing an implementation-ready Knowledge Twin that supports analytics, visualisation, and operational decision making.
This showcase video presents an airport digital twin bringing together BIM, geospatial data, 3D models, documents, schematics, leasing information, and operational data into a connected, searchable environment. It demonstrates how the platform supports intuitive navigation, synchronized visualisation, automated data linking, AI-assisted interaction through 'Ask Nextspace', report generation, light studies, and integrated maintenance and work planning. The result is a practical digital twin that helps airport teams access, understand, and act on complex asset information more efficiently.
See how Nextspace Alarms and Monitoring connects live alarm events with asset and spatial context to help operators move faster from detection to understanding.
