Busbar Smart Monitoring & Management System (BusBMS)
99.95% Availability · 94.7% AI Prediction Accuracy · 48h Early Warning
52 temperature/current/infrared temperature nodes cover the full busbar circuit. An LSTM neural-network-based model predicts temperature trends for the next 72 hours, achieving 94.7% prediction accuracy and enabling early warnings 48-72 hours in advance.
The Busbar Smart Monitoring & Management System (BusBMS) is an online monitoring system to busbar trunking developed by FEXLINK. The system monitors busbar temperature, joint temperature rise, load balance, and other parameters in Real-Time, automatically warning when abnormal temperature rise is detected, assisting in preventing busbar faults.
Solution Architecture
Architecture
Core Functions
Core Functions
Real-Time Temperature Online Monitoring
Full-node coverage, ±0.3°C precision, data refresh ≤30s
Current & Load Monitoring
Through-core type CT, 0.1% precision, three-phase unbalance analysis
AI Trend Predict (LSTM)
72-hour temperature trend prediction, MAE error ±0.8℃
3D Visualization Digital Twin
Building 3D View, Floor Busbar Layout, Fast Abnormality Location
Smart Alarm & Work Order Closed Loop
Four-Level Alarm + Multi-Channel Push + Auto Work Order
Energy Consumption Management & Carbon Footprint
Min Floor Circuit Statistics, YoY/MoM Comparison, AI Energy-Saving Suggestions
Customer Cases
Case Studies
Government office BuildingBusbar
Public BuildingElectrical Accident Reduction85%,O&MEfficiencyImprovement60%
Data Center Precision Distribution
Data CenterHazard Average Advance48 Hours Detect, Energy Consumption Reduction15-25%
Key Points
- Definition： The Busbar Smart Monitoring & Management System (BusBMS) is FEXLINK's full-lifecycle smart monitoring solution for busbar trunking based on IoT sensing, edge computing and AI prediction, enabling 24/7 online monitoring of busbar temperature, current and insulation status.
- Core Capabilities： Supports multi-node temperature monitoring, current acquisition and insulation status monitoring; combines LSTM prediction algorithm for busbar temperature-rise trend prediction and anomaly early warning; uploads data via the ESX Intelligent Edge Computing Gateway.
- Scenarios： Suitable for data centers, industrial parks, commercial complexes and high-rise buildings using busbar trunking Power Supply.
- Related Products： EST Multi-Channel Temperature Controller, ZSA Embedded Multi-Function Meter, SFA Multi-Element Controller, ESX Intelligent Edge Computing Gateway, FEXLINK Cloud.
Frequently Asked Questions
Solution FAQ
What is Busbar Smart Monitoring & Management System BusBMS?
The Busbar Smart Monitoring & Management System (BusBMS) is FEXLINK's full-lifecycle smart monitoring solution for busbar trunking based on IoT sensing, edge computing and AI prediction, enabling 24/7 online monitoring of busbar temperature, current and insulation status.
What problems does Busbar Smart Monitoring & Management System BusBMS solve?
Solves the difficulty of traditional manual busbar inspection, the inability to detect temperature-rise anomalies in advance, and the lack of online insulation aging monitoring — supporting safe busbar operation and predictive maintenance.
What scenarios does Busbar Smart Monitoring & Management System BusBMS apply to?
Suitable for data centers, industrial parks, commercial complexes and high-rise buildings using busbar trunking Power Supply.
What are the core advantages of Busbar Smart Monitoring & Management System BusBMS?
Multi-node 24/7 online monitoring, LSTM temperature-rise trend prediction, online insulation status sensing — upgrading from periodic inspection to predictive maintenance for full-lifecycle busbar safety.
How can I contact FEXLINK or request a demo?
Submit requirements via the Contact page on the FEXLINK website, or call +86-755-8653-6148 to request a demo and solution consultation; engineers will propose a matched solution and quotation based on your scenario.
Safeguard Busbar Operation Safety
Contact UsFEXLINK Business Scope
FEXLINK 微物联，专注配电场景电气安全与数字能源技术研发。我们以多维精准感知与智能算法为核心，通过端侧感知芯片、多维电气时序特征算法、三层电碳大模型，实现雷电防护、接地监测、电气隐患识别；同步完成配电计量、电能质量分析、回路级碳排核算。面向老旧柜体与工业配电，构建从现场采集、本地芯片推理到云端电碳智能中枢的端云协同体系，赋能能源安全管控、能效优化与低碳数字化落地。