In order to deliver on our Construction 4.0 program, we need to develop the overarching Construction 4.0 data connectivity standardisation.

Construction 4.0 processes require vertical integration of an enterprise’s systems, and horizontal integration of collaborative networks and end-to-end solutions across the value chain. This requires a protocol whereby Construction 4.0 data can be readily shared and connected across platforms and the multitude data producers and users.

The protocol will fit within a “Western” Construction 4.0 paradigm as well as a Te Ao Māori paradigm. It entails data generation, capturing, transmission, conditioning, storage, and processing.

Project Lead: University of Auckland Head of Laboratory for Industry 4.0 Smart Manufacturing Systems, Professor Xun Xu.

Standardising the data

The aim of this research is to develop protocols for standardising data management so that these systems and processes deliver true connectivity. Data generation and capture encompasses technologies that generate and collect data regarding building products, components, machinery, processes and people, using RFID, smart sensors and more.

Data transmission comprises technologies related to the transport of data from their points of origin (e.g. design and construction site) to the places where they will be stored or used, through Internet of Things and Internet of Services technologies. Data conditioning, storage and processing are related to guarding, information security standards, maintenance, analysis of data, and creating knowledge, using tools such as big data analytics, artificial intelligence and additive manufacturing.

In order to adequately incorporate Mātauranga Māori, the protocol will also need to be developed to consider Te Ao Māori protocols and cosmology.


There will be 3 critical steps in this research theme, which have significant overlap and integration with the other research themes and programs:

  1. Standardisation protocols developed for:
  • Data generation and capture;
  • Data transmission; and
  • Data conditioning and storage.
  1. Incorporation of Mātauranga Māori. Critical to the consideration of Mātauranga Māori in Construction 4.0 will be the incorporation of Te Ao Māori in the data standardisation model. The “conventional” research paradigm and Industry 4.0 paradigm will need to go hand-in-hand with the Māori worldview, incorporating a Māori perspective on knowledge sharing.
  2. Development of a data processing and design-support framework This will require development of data analytics tools developed and used for various data sets processing, and decision-support framework developed as Apps to be used by the construction sector participants.
Project team
Project Lead: University of Auckland, Head of Laboratory for Industry 4.0 Smart Manufacturing Systems, Professor Xun Xu.
HERA Automation and Welding 4.0 Engineer, Holger Heinzel.
University of Auckland Industrial IoT and AI expert, Dr. Yuqian Lu.