Industrial AI Analysis System
Electrical hazard analysis, early arc warning and equipment health diagnosis turn 100+ types of smart hardware into usable data.
Electrical hazard analysis, early arc warning and equipment health diagnosis turn 100+ types of smart hardware into usable data.
Electrical hazard analysis, early arc warning and equipment health diagnosis turn 100+ types of smart hardware into usable data. With the Qianzhi + Wanxiang dual-AI engines and the Tianyan LLM V3.0, it builds a complete sensing-data-AI-warning-control loop from electrical-signal capture to intelligent diagnosis.
Industry Pain Points
Electrical Hazards Hard to Identify Manually
Gradual leakage, harmonic anomalies and three-phase unbalance hide in massive data; manual inspection and experience cannot identify them, and hazards accumulate until an accident occurs.
Arc Faults Mean Accidents by Discovery Time
Arc faults can reach thousands of degrees; conventional protection cannot recognize them, and once an arc persists it ignites fires. The dilemma of 'discovery equals accident' demands early-warning breakthroughs.
Unknown Equipment Health
Critical equipment such as switchgear, motors and transformers lacks quantitative health assessment; preventive maintenance relies on scheduled inspection, causing frequent unplanned downtime and high O&M costs.
Massive Data Without AI Analysis
Massive electrical data from smart hardware is used only for basic display and threshold alarms; without deep AI analysis its value stays locked - the common dilemma of 'data without insight'.
Solution Architecture
Layered architecture, a complete data loop from sensing to operation.
Core Capabilities
Electrical Hazard Analysis System
The Qianzhi AI engine embeds 408 national-standard rules for multi-dimensional analysis of leakage, temperature, harmonics and three-phase unbalance, precisely identifying gradual hazards with advance warning to prevent accidents.
Early Arc Warning System
Compliant with UL 1699B, the Wanxiang AI engine performs multi-dimensional feature extraction and pattern recognition on arc current waveforms for early arc-fault warning at 97.2% accuracy with an extremely low false-alarm rate.
Equipment Health Diagnosis
Quantitative health assessment of switchgear, motors and transformers from electrical-parameter trends and harmonic-fingerprint recognition, supporting predictive maintenance and reducing unplanned downtime.
Multi-Dimensional Electrical-Feature Analysis
256 samples/cycle and a 100MHz frequency range extract voltage, current, power and harmonic features to build equipment electrical 'fingerprints', providing a high-dimensional data foundation for AI analysis.
Data Production from 100+ Hardware Types
Unified access of 100+ smart hardware types; every device is a data-production unit converting operating status into computable, analyzable, alert-capable and controllable high-quality data assets.
Confidence Evaluation
The Tianyan LLM V3.0 scores every AI warning with a confidence rating and distinguishes high/medium/low risk levels, helping O&M staff focus precisely on hazards that truly need handling and improving O&M efficiency.
Data Loop
The complete data value chain: sense -> data -> AI -> warning -> control -> operation.
Product Portfolio
FA Arc-Fault Monitoring Module
FA / FAP Series
Complies with UL 1699B, captures arc waveforms through high-frequency sampling and, with the Wanxiang AI engine, delivers early arc-fault warning at 97.2% accuracy.
ESA Full-Factor Smart Meter
ESA-1001-R / 1002-R / 1003-R
Synchronous capture of voltage, current, power and harmonics, 256 samples/cycle over a 100MHz range, providing high-dimensional electrical-feature data for AI analysis.
Qianzhi AI Engine
Qianzhi Engine
The core of the electrical-hazard analysis system with 408 national-standard rules and 27 AI sub-models covering precise hazard recognition across substations, hospitals and data centers.
Wanxiang AI Engine
Wanxiang Engine
The core of the early arc-warning system, compliant with UL 1699B, performing multi-dimensional feature extraction and pattern recognition on arc waveforms for precise arc-fault warning.
Tianyan LLM V3.0
Tianyan LLM V3.0
The top-level LLM of the industrial AI analysis system, fusing Qianzhi + Wanxiang engine outputs with confidence evaluation, risk-level judgment and smart O&M advice at 97.2% AI warning accuracy.
Customer Value
Quantified, verifiable customer value.
97.2% AI Warning Accuracy
The Qianzhi + Wanxiang dual engines and Tianyan LLM V3.0 work together for 97.2% warning accuracy, far above the industry average; confidence evaluation helps staff focus on hazards that truly need handling.
Advance Hazard Detection
408 national-standard rules and 27 AI sub-models precisely identify gradual electrical hazards, warning hours or even days before accidents and eliminating risks at the source.
Less Unplanned Downtime
Equipment health diagnosis and predictive maintenance quantitatively assess health status and detect potential faults in advance, reducing unplanned downtime frequency and duration and lowering production losses.
Higher O&M Efficiency
AI analysis replaces manual inspection; alarm closure management standardizes handling; staff focus on high-confidence hazards for significantly higher overall O&M efficiency.
Related Solutions
Smart Fire Protection
Electrical-fire warning, linked alarming, hazard closure
Industrial IoT Platform
Device access, multi-protocol, rule engine, visualization
Electrical Safety
Leakage, temperature, arc and distribution hazard warning
FAQ
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