Spatial context changes which alternatives remain available.
RESEARCH / RESEARCH PROGRAMME IN PLANNING

Intelligence for a more resilient built world.

The planned UNSW–Tecco research programme connecting spatial context, safety-aware reasoning and energy flexibility.

Concept artwork · Spatial context changes which alternatives remain available.
THE RESEARCH QUESTION

AI-enabled spatial intelligence for safe, resilient and energy-efficient buildings.

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.

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.

ARC research context

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 UNSW

A forward programme

The 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.

TECHNICAL ROUTE / RESEARCH DESIGN

From fragmented signals
to decisions with context.

Building geometryIoT & device statesEnergy & storageEnvironmental sensingOperational events

Dynamic spatial representation

Spaces · devices · assets · conditions · relationships

Condition intelligence

Anomaly detection and predictive maintenance

Energy intelligence

Consumption, distributed resources and energy flexibility

Safety-aware intelligence

Multi-source risk identification and assessment

CONTEXT + CAPABILITY + CONSTRAINTS + SAFETY REQUIREMENTS

Decision support & deterministic response

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.

FOUR CONNECTED INVESTIGATIONS
01

A shared data foundation

Structure buildings, spaces, devices and energy assets in a dynamic representation. Secure pipelines connect research datasets with relevant spatial and operational context.

02

Signals that explain condition

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.

03

Flexibility within constraints

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.

04

Understanding that becomes action

Translate AI-derived understanding into decisions bounded by device capability, building context and predefined requirements. Evaluate selected deterministic responses in representative applications.

PLANNED RESEARCH HORIZON

Build the foundation.
Then earn the next step.

01
Nov 2026 – Jun 2027

Define the questions

Establish building use cases, data requirements, evaluation criteria and research protocols.

02
Jul 2027 – Dec 2028

Build the data foundation

Review energy-aware and safety-aware methods; establish spatial, IoT, energy and operational data models and research pipelines.

03
Sep 2027 – Jun 2029

Develop the intelligence

Investigate anomaly detection, predictive maintenance, energy management, risk monitoring and decision support.

04
Feb 2028 – Aug 2029

Connect to applications

Integrate selected outputs with Tecco’s technology environment and evaluate representative residential and commercial applications.

05
Jul 2028 – Nov 2030

Validate and translate

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.

WHY IT MATTERS TO TECCO

A research pathway
into intelligent spaces.

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.

Follow the programme

News will track programme updates and research milestones as they become available. Technical perspectives and methods live in Research.

Read the programme briefing
Explore Tecco Lab
SYSTEMS / IN DETAIL

A technical route from representation to decision support.

The 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.

ENGINEERING / FOLLOW THE FLOW
CONCEPTUAL MECHANISM 01 / 04
BoundaryResponsibilityEngineering consideration
RepresentationA computable account of the buildingInvestigate whether the spatial context preserves relationships needed by downstream tasks.
ReasoningContext-aware decision supportKeep assumptions, missing evidence and operating constraints explicit.
EvaluationA programme-specific validation basisDefine baselines and scenarios before interpreting research outcomes.

How does the programme connect to the broader agenda?

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.