Continuous Condition Monitoring
24/7 internal temperature tracking at every critical electrical connection — busbar joints, MCCB/ACB terminals, cable lugs and neutral conductors.
AI Predictive Maintenance · Australia
PowerGuard AI is an AI-driven condition-monitoring and predictive-maintenance platform for main low-voltage switchboards. It combines wireless RFID thermal sensing, Health Index analytics, risk forecasting and conversational AI to help Australian buildings prevent power outages, optimise performance and extend asset life.
24/7 internal temperature tracking at every critical electrical connection — busbar joints, MCCB/ACB terminals, cable lugs and neutral conductors.
Per-point Health Index, residual temperature and probability of entering high-risk condition over 1, 6 and 12-month horizons.
Smart loading control signals to chillers and high-energy assets when thermal stress is detected — prevents fault escalation.
Integrated seepage monitoring above and near electrical panels to prevent water-induced power outages.
Open APIs and cloud platform integrate with existing building systems and support multi-site Australian portfolios.
Frontline engineers ask natural-language questions and receive site-specific incident response guidance.
Transform your maintenance approach from reactive to predictive. Our AI-powered condition-monitoring platform for switchboards prevents costly power outages before they happen.

A single electrical incident at a main switchboard can cost an Australian commercial property over AUD 60,000 in emergency repairs, temporary power, after-hours labour and consultant fees — before factoring in tenant claims, business disruption and reputational damage.
Wireless, passive thermal sensors retrofit to existing busbars, MCCB/ACB terminals and cable lugs — no rewiring required.
Learned thermal fingerprints, residual temperature and Health Index detect developing faults before they trip the board.
Automatic notifications to facility teams when an anomaly is detected — act before tenants see an outage.
Portfolio-wide visualisation of switchboard health with predictive maintenance scheduling and risk forecast.
Contact us for a consultation and discover how PowerGuard AI can protect your electrical infrastructure.
AI predictive maintenance for low-voltage (LV) switchboards uses continuous condition data — primarily internal temperature at busbar joints, MCCB/ACB terminals and cable terminations — and machine-learning analytics to detect developing faults before they cause an outage. PowerGuard AI delivers this for commercial, healthcare and critical buildings across Australia.
PowerGuard AI learns each sensing point's normal thermal behaviour, computes a Health Index, residual temperature and risk forecast, and flags loose connections, phase imbalance, neutral stress, overload or ventilation degradation. Facility teams can then prioritise maintenance, balance loading and avoid emergency shutdowns.
Yes. PowerGuard AI complements statutory inspection and verification under AS/NZS 3000 and AS/NZS 3019, supports power quality monitoring aligned with AS/NZS 61000, and feeds operational data useful for NABERS Energy reporting.
Yes. The wireless passive RFID thermal sensors install on existing busbar joints, MCCB/ACB terminals and cable lugs without rewiring the switchboard. The AI layer runs in the cloud and integrates with existing BMS/SCADA via open APIs — deployment does not require switchboard replacement.
Data centres, hospitals, airports and transport infrastructure, government and commercial buildings, universities, large retail and any facility where a main LV switchboard outage is operationally or commercially unacceptable.