Sistema nga GIS Current Transformer Intelligence Solution: Sistema sa Early Warning alang sa Mekanikal nga Sayop Batas sa Vibration-Current Coupling

17yrs 700++ staff 108000m²+m² US$150,000,000+ China

Core Problem: Sa mga lugar nga prone sa lindol ug mga aging GIS substations, ang mechanical structures (e.g., fasteners, insulation supports) sa mga Current Transformers (CTs) mahimong mabag-o gikan sa continuous vibration o sudden impacts. Kini makapadala og mga hidden faults sama sa loosening, detachment, o displacement, na resulta sa insulation degradation o sudden CT failure, nga nagbabanta sa reliability sa grid. Ang mga tradisyonal nga outage-based inspection methods dili efektibo ug costly.

Innovative Solution: Nag-integrate sa dual-parameter monitoring sa vibration ug current, ug nagamit og AI engine aron makamit ang early warning ug intelligent diagnosis sa CT mechanical faults.

Core Technological Implementation

Multi-Parameter Collaborative Sensing:

High-Frequency Vibration Monitoring: I-deploy ang wide-band piezoelectric accelerometers (5Hz-10kHz) sa mga critical CT components (flanges, supports) aron makapagtubag ng eksaktong abnormal structural vibration signals gikan sa mechanical loosening, part displacement, insulation degradation, o external vibrations (seismic waves).
Transient Inrush Current Capture: Gigamit ang passive Rogowski Coils para sa non-intrusive, real-time monitoring sa CT primary-side switching operation current waveforms. Gisama ang circuit breaker operation signals, ang precise identification sa switching events ug analysis sa inrush characteristics ug ilang impact forces sa CT mechanical structure.

AI-Driven Edge Intelligence Diagnostic Engine:

Gigamit ang ruggedized edge computing module (wide-temperature, shock-resistant) na i-install locally sa device aron makapagtubag sa real-time processing sa vibration ug current waveform data.
Ang core operation nagamit og proprietary 1D-CNN (1D Convolutional Neural Network) intelligent diagnostic model:

Input: Vibration acceleration time-frequency features (FFT analysis) + Switching inrush waveform characteristics.
Output: Eksaktong nakakakilala sa typical mechanical fault modes ("bolt loosening," "insulation support displacement," "mechanical resonance") uban sa 92% diagnostic accuracy rate.
Adunay "adaptive learning" capability aron makapahimulos sa different CT structural ug background vibration characteristics sa iba't ibang substations.

Efficient Local Warning & Communication:

Tiered Warning Mechanism: Pagka-detect sa suspected fault signatures, ang edge engine immediate generates warning/alarm signals (e.g., Warning, Severe, Critical).
Simplified Wireless Transmission: Encrypted transmission sa key alarm signals (not raw data) sa substation's local HMI platform pinaagi sa LoRa LPWAN technology, na nagsuporta sa pagbawas sa communication load ug latency.
Local HMI Display: Real-time map-based display nga nagpakita sa faulted CT number, fault type, alarm level, ug recommended actions.

Target Application Scenarios

GIS Substations in High-Seismic Areas:

Early warning sa CT displacement o structural damage gikan sa seismic aftershocks, nagpreventa sa secondary faults.
Continuous monitoring sa chronic equipment damage gikan sa long-term minor geological activity.

Aging GIS Substation Retrofits & Upgrades:

Outage-Free Deployment: Simple sensor installation nga walay modification sa gas chamber structure, nagensure sa airtight integrity. Particular suitable sa older stations nga may limitado nga outage windows.
Cost-Effective Incremental Retrofit: Nagamit ang wireless tech ug edge computing, walay need sa extensive cabling o new backend systems, resulta sa high retrofit ROI.

Critical Hub & High-Load Substations: Prevention sa protective relay misoperation/failure risks ug large-scale blackouts gikan sa sudden CT failure.

Core Value & Advantages

Early Major Risk Warning: Efektivo nga predicts ang typical mechanical faults 7+ days in advance, nagprovide og ample time sa proactive intervention.
Significant Reduction in Unplanned Outages: Cuts unplanned outages gikan sa sudden CT failure sa over 60%, nag-enhance sa grid availability ug customer satisfaction.
Dual Safety & Cost Benefits: Prevents protection system malfunctions, arc faults, ug cascading equipment damage sa substation gikan sa CT failure.
New Smart O&M Paradigm: Shifts from "periodic maintenance" to "predictive maintenance", nag-optimize sa spare parts management ug workforce scheduling.
Design Suited for Strong Seismic Zones: Passive sensors + Edge computing + Wireless transmission – walay long cabling, resilient sa strong earthquakes.
Optimal Cost for Aging Station Retrofits: Lightweight solution, independent sa large substation monitoring systems; nagensure sa rapid deployment ug payback.