Continuous Condition Monitoring
24/7 internal temperature tracking at every critical electrical connection — busbar joints, MCCB/ACB terminals, cable lugs and neutral conductors.
Two EMSD InnoPortal-listed solutions · Hong Kong
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 Hong Kong 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 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 system for switchboards prevents costly power outages before they happen.

A single electrical incident at a switchboard can cost over HKD 350,000 in emergency repairs, temporary power supply, and manpower overhead — not to mention potential tenant claims, business disruption, and reputation damage.
Wireless thermal sensors compatible with all brands of electrical devices for continuous monitoring.
Location-based fingerprint technology for accurate early fault detection using advanced AI models.
Automatic notification system for anomaly detection, enabling action before power outage occurs.
Comprehensive visualization of switchboard conditions with predictive maintenance scheduling.
Contact us for a consultation and discover how PowerGuard AI can protect your electrical infrastructure.
Two EMSD InnoPortal-listed solutions · PowerGuard AI · RFID Thermal Sensor
Two complementary PowerGuard AI / UNS solutions are featured on the Hong Kong Electrical and Mechanical Services Department InnoPortal — the sensing layer and the AI analytics layer:
Wireless passive RFID thermal sensors retrofit on busbars and breaker terminals.
AI analytics, Health Index, risk forecasting and performance optimisation for main LV switchboards.
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 buildings and infrastructure in Hong Kong.
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. Operators can then prioritise maintenance, balance loading and avoid emergency shutdowns.
Yes. Two PowerGuard AI / UNS solutions are listed on the Hong Kong EMSD InnoPortal: the RFID Thermal Sensing System (REF S-1317) and AI Predictive Maintenance and Performance Optimization for Main LV Switchboard (REF S-1357).
Yes. The wireless passive RFID thermal sensors install at 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, so deployment does not require switchboard replacement.
Data centres, hospitals, airports and transport infrastructure, government and commercial buildings, public housing estates and any facility where a main LV switchboard outage is operationally or commercially unacceptable. PowerGuard AI has been deployed across 98 projects in Hong Kong.