UNSW × Tecco
The project schedule names UNSW researcher Dr Michael (Yu) Zhang and brings Tecco’s building technology environment, including Homira, into the proposed research pathway.

The planned UNSW–Tecco research programme connecting spatial context, safety-aware reasoning and energy flexibility.
A building is a network of relationships: rooms and occupants, equipment and capabilities, energy assets and operating conditions. This programme asks how a dynamic model of those relationships can support better decisions when efficiency, reliability and safety must be considered together.
The project schedule names UNSW researcher Dr Michael (Yu) Zhang and brings Tecco’s building technology environment, including Homira, into the proposed research pathway.
The ARC Research Hub for Fire Resilience Infrastructure, Assets and Safety Advancements (FRIASA) connects research with real-world fire resilience challenges.
About the Hub at UNSWThe proposed schedule runs from November 2026 to November 2030. The scope and milestones shown here describe planned research, with outcomes to be established through evaluation.
Spaces · devices · assets · conditions · relationships
Anomaly detection and predictive maintenance
Consumption, distributed resources and energy flexibility
Multi-source risk identification and assessment
Evaluate selected applications, observe outcomes and refine the model.
Conceptual research architecture derived from the project schedule. It describes a development and evaluation pathway, not a certified fire detection or life-safety system.
Structure buildings, spaces, devices and energy assets in a dynamic representation. Secure pipelines connect research datasets with relevant spatial and operational context.
Investigate multi-source AI methods for monitoring, anomalies, maintenance and risk identification. The question is how to interpret observations in relation to a building and its assets.
Investigate how building loads and distributed energy resources can be managed while incorporating operational and safety requirements. Energy flexibility is a research target to quantify and evaluate.
Translate AI-derived understanding into decisions bounded by device capability, building context and predefined requirements. Evaluate selected deterministic responses in representative applications.
Establish building use cases, data requirements, evaluation criteria and research protocols.
Review energy-aware and safety-aware methods; establish spatial, IoT, energy and operational data models and research pipelines.
Investigate anomaly detection, predictive maintenance, energy management, risk monitoring and decision support.
Integrate selected outputs with Tecco’s technology environment and evaluate representative residential and commercial applications.
Refine the methods, retain validation evidence and support knowledge transfer and potential commercial translation.
Phases overlap intentionally in the proposed schedule. Timing and scope remain subject to project finalisation and research review.
The programme connects building data and academic investigation with the environments in which Tecco develops software. Potential translation into existing and future products follows validation; it is not assumed in advance.
News will track programme updates and research milestones as they become available. Technical perspectives and methods live in Research.
Read the programme briefingThe planned programme brings spatial representations and building observations into a research process. Its value will depend on how well the representation supports safety-aware and energy-related decisions under realistic constraints.
| Boundary | Responsibility | Engineering consideration |
|---|---|---|
| Representation | A computable account of the building | Investigate whether the spatial context preserves relationships needed by downstream tasks. |
| Reasoning | Context-aware decision support | Keep assumptions, missing evidence and operating constraints explicit. |
| Evaluation | A programme-specific validation basis | Define baselines and scenarios before interpreting research outcomes. |
Spatial modelling provides structure; IoT supplies changing observations; reasoning examines what those observations mean for a building. The proposed collaboration connects these disciplines within the ARC FRIASA context. The supplied V1 programme documents are planning material, so this technical route is presented as a proposed programme rather than a completed result.