Question COM 06

COM-06 Which sensors will help people make a useful decision, and how will we check their accuracy, age, location, failures and permission to share?

Start here · Questions · Progress · People decide

Why this matters

Well-described observations give people evidence they can understand and check.

What to bring back

Make a sensor register linking each measurement to its purpose, power use and reviewer. Include calibration - checking it against a known reference - maintenance, faults, privacy and human confirmation. Clearly separate measured data, estimates, derived results and simulated readings.

What we know so far

• Straddie Disaster Kiosk Pitch.pdf — reviewed source; public copy can be added through the evidence process
• Professional review and comparison of proposed improvements (When this work overlaps professional or public-authority responsibilities, compare the proposal and Luke's research with applicable industry/global best practice and relevant legal-engine sources. Record differences, reasonable improvements and deficiencies, with the responsible reviewer and response. Routine authorised drafting and wiki work can advance.)
• Council plan crosswalk and proposed Aura integration (Relevant question row identifies the management/recovery source section and printed/PDF page. AI-generated analysis, 21 October 2026; proposed checks and actual review/operating agreements retain separate status.)

AI-generated potential answers

For discussion and review · research checked 2026-10-20. These are AI-generated options and transfer assessments. The user's request and research method identify the source of this work. The source catalogue states what the references establish. The decision and approval record retains its own status.

Start with sensors tied to decisions: battery reserve, cabinet temperature, water entry and link health. Add local environmental observations only when someone can maintain, interpret and act on them. Keep measured, estimated and simulated values distinct, with location, age, calibration and fault status visible.

Decision-led sensor register

AI-generated adaptation of an existing pattern. Use energy-controller readings and independently checked temperature/moisture sensors first. Compare a commercial asset tracker for portable modules, recognising that a tracker's onboard temperature may be unsuitable for precise environmental measurements.

Research basis: Cerbo GX manual: configuration · Oyster3 GPS asset tracker.

Cross-checked sensing twin

AI-generated future concept. Develop an Aura that compares redundant sensors, model predictions and human observations, then proposes a maintenance check when they diverge. Future robotic inspection could supply another labelled observation rather than silently turning a prediction into a fact.

Examples and local differences

• Oyster3 GPS asset tracker: AI transfer assessment: Oyster3's documentation explicitly qualifies temperature precision and reporting-energy assumptions. Local difference to check: Environmental and emergency decisions need purpose-specific sensor accuracy, calibration and responsible interpretation.

Evidence to bring back next

• Name the action and responsible interpreter for every proposed measurement.
• Test reference accuracy, drift, stale readings and stuck-value failures.

People and connected choices

Who reviews: Proposed sensing/data-quality lead with hazard reviewers and operator; role and appointment awaiting confirmation

Connected questions: DAT-01, PHY-02, ENE-01, COM-01

Work state: open. Assigned person or AI assistant: Ready to be assigned.

Research and alternatives can move ahead while connected decisions develop. Before acting on a choice, check the people, evidence and approved scope in People decide.