Busbar Smart Monitoring & Management System (BusBMS)
52 temperature/current/infrared nodes cover the full busbar loop; the LSTM neural network forecasts temperature trends 72 hours ahead with 94.7% prediction accuracy, warning 48-72 hours in advance.
52 temperature/current/infrared nodes cover the full busbar loop; the LSTM neural network forecasts temperature trends 72 hours ahead with 94.7% prediction accuracy, warning 48-72 hours in advance.
BusBMS is FEXLINK's online busbar-trunking monitoring system. Built on IoT sensing + edge computing + AI prediction, it monitors busbar temperature, joint temperature rise, load balance and insulation status in real time, warning automatically on abnormal temperature rise to prevent busbar faults and achieve full-lifecycle safety monitoring.
Industry Pain Points
Busbar Temperature-Rise Hazards Hard to Find
Busbar joints and connectors carry large currents long-term; poor contact or aging causes abnormal local temperature rise that manual inspection cannot cover at high frequency.
Insulation Aging Not Detectable Online
Busbar insulation lacks online monitoring; aging is only discovered after the fact, posing short-circuit and fire risks.
Three-Phase Load Unbalance
Uneven three-phase load distribution heats the busbar unevenly and overloads the neutral line, without real-time monitoring or warning.
O&M Without Data Support
Busbar O&M relies on manual records without continuous data or trend analysis, unable to support predictive maintenance and energy management.
Solution Architecture
Layered architecture, a complete data loop from sensing to operation.
Core Capabilities
Real-Time Temperature Online Monitoring
Full-node coverage with +-0.3C accuracy and <=30s data refresh; abnormal joint temperature rise sensed in real time.
Current & Load Monitoring
Through-core CTs at 0.1% accuracy with three-phase unbalance analysis for real-time load-fluctuation visibility.
AI Trend Prediction (LSTM)
72-hour temperature-trend forecasting with +-0.8C MAE; 94.7% prediction accuracy warns 48-72 hours in advance.
3D Visual Digital Twin
Building 3D view shows floor-level busbar layouts for fast anomaly-node location and intuitive, efficient O&M.
Smart Alarms & Work-Order Closure
Four-level alarms + multi-channel push + automatic work orders, with fully traceable alarm handling.
Energy Management & Carbon Footprint
Floor/circuit-level statistics with year-on-year and chain analysis, AI saving suggestions and carbon-footprint support.
Data Loop
The complete data value chain: sense -> data -> AI -> warning -> control -> operation.
Product Portfolio
ESC Multi-Channel Temperature Controller
ESC Series
Multi-channel temperature acquisition and control with real-time temperature-rise sensing at critical busbar nodes.
ZSA Embedded Multi-Function Meter
ZSA Series
Full-parameter metering of busbar current, voltage and power with three-phase unbalance analysis.
SFA Multi-Factor Measurement Controller
SFA Series
Multi-factor electrical measurement and control with edge computing and AI inference supporting LSTM trend prediction.
ESX Intelligent Edge Computing Gateway
ESX Series
LoRa wireless + RS-485 dual-mode redundant communication with offline buffering for reliable cloud uplink.
Customer Value
Quantified, verifiable customer value.
85% Fewer Electrical Incidents
Government-office busbar case: after BusBMS online monitoring and AI prediction, electrical incidents fell 85% and O&M efficiency rose 60%.
Hazards Found 48 Hours in Advance
Data-center precision distribution case: busbar temperature-rise hazards found 48 hours ahead on average, with 15-25% energy savings.
Online Insulation Sensing
Round-the-clock online insulation monitoring upgrades periodic inspection to predictive maintenance, eliminating sudden short-circuit risk.
Meterable Energy & Carbon Footprint
Floor/circuit energy statistics and carbon-footprint accounting with AI saving suggestions support green buildings and dual-carbon goals.
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FAQ
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