GIS Current Transformer Intelligence Solution: Mekanik Fault Early Warning System Based on Vibration-Current Coupling

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

Na gode: A ƙasar da yawa na gida da kuma GIS substation mai tsarki, sauyin ɗaya (misali, jiragen da suke, tukunan ingancin kuɗi) na Current Transformers (CTs) suna iya ɗaukar da lafiya daga zama-zama ko sako mai yawa. Wannan zai iya haɓaka hanyoyi masu gida misali, ɗace, ko kasa, wanda yaɗa ƙare kan ingancin kuɗi ko kuma ƙarfin CT mai yawa, wanda ke ƙare kan lafiyar gwamnati. An samar da ƙarin bayyana da ziyarta ta hanyar kusa cikin gwamnati ba shi ba ne.

Babban Bayanin: Yana ƙunshi bayanin labari da ƙarfin dual-parameter, amma ya yi amfani da AI engine don in samar da babbarwa da fahimta mai zurfi na abubuwan ƙarfi na CT.

Babban Inganci na Fadada:

Sensin Da Tattauna Duk Labari:

Binciken Ƙarfi Mai Tsawon Kalmomi: An yi amfani da piezoelectric accelerometers masu ƙarin banda (5Hz-10kHz) a wurare muhimman CT (flanges, tukunan ingancin kuɗi) don in ƙunshi shiga abubuwan ƙarfi na tsaro da ba dace ba, ɗace, ingancin kuɗi, ko kuma abubuwan ƙarfi na gida (seismic waves).
Takarda Inrush Ƙarfin Mai Tsawo: An yi amfani da Rogowski Coils masu ƙarin banda don in bincike ƙarfin primary-side switching operation waveforms a baya. Ta ƙunshi amfani da sabon signalon bayyana bayyana, tana ƙunshi takarda da kuma tattara abubuwan ƙarfi na inrush da suka ƙare kan ƙarfi na CT.

AI-Driven Edge Intelligence Diagnostic Engine:

An yi amfani da edge computing module masu ƙarin tsayi (wide-temperature, shock-resistant) an yanke a cikin tushen da ake yi don in ƙunshi bayanin ƙarfi da current waveform data a baya.
Amfani da 1D-CNN (1D Convolutional Neural Network) intelligent diagnostic model:

Input: Vibration acceleration time-frequency features (FFT analysis) + Switching inrush waveform characteristics.
Output: Yana ƙunshi abubuwan ƙarfi na ƙarfi na ƙarfi ("bolt loosening," "insulation support displacement," "mechanical resonance") da ƙarfi mai zurfi 92%.
Yana da "adaptive learning" capability don in ƙunshi abubuwan ƙarfi na CT da kuma abubuwan ƙarfi na gida a wurare substation.

Efficient Local Warning & Communication:

Mechanism na Tiered Warning: Idan an samar da alamar ƙarfi, edge engine yana ƙunshi warning/alarm signals (misali, Warning, Severe, Critical).
Takarda Masu LoRa LPWAN: An yi amfani da LoRa LPWAN technology don in ƙunshi key alarm signals (ba raw data ba) zuwa HMI platform na substation, wanda yana ƙare kan takarda da lati.
Display na Local HMI: Yana ƙunshi map-based display a baya da CT number, nau'in ƙarfi, level na alarm, da kuma abubuwan neman da za su iya yi.

Scenarios na Target Application

GIS Substations a ƙasar da yawa na gida:

Babban waɗannan CT displacement ko ƙarfi na tsaro da seismic aftershocks, tare da ƙarfi na ƙarfi.
Binciken daɗi ƙarfi na tsaro da minor geological activity.

Aging GIS Substation Retrofits & Upgrades:

Outage-Free Deployment: Samun ƙarin bayyana da sensor installation, ba a yi ƙarin bayyana gas chamber structure, tana ƙare kan airtight integrity. Ya fi shi daidai a wurare substation masu tsarki da outage windows mai tsayi.
Cost-Effective Incremental Retrofit: Amfani da wireless tech da edge computing, ba a yi ƙarin bayyana cabling ko new backend systems, tana ƙare kan high retrofit ROI.

Critical Hub & High-Load Substations: Prevention of protective relay misoperation/failure risks and large-scale blackouts caused by sudden CT failure.

Core Value & Advantages

Early Major Risk Warning: Yana ƙunshi abubuwan ƙarfi 7+ days in advance, tana ƙare kan lokacin da ake iya yi proactive intervention.
Significant Reduction in Unplanned Outages: Cuts unplanned outages caused by sudden CT failure by over 60%, significantly enhancing grid availability and customer satisfaction.
Dual Safety & Cost Benefits: Prevents protection system malfunctions, arc faults, and cascading equipment damage within the substation resulting from CT failure.
New Smart O&M Paradigm: Shifts from "periodic maintenance" to "predictive maintenance", greatly optimizing spare parts management and workforce scheduling.
Design Suited for Strong Seismic Zones: Passive sensors + Edge computing + Wireless transmission – no long cabling, resilient to strong earthquakes.
Optimal Cost for Aging Station Retrofits: Lightweight solution, independent of large substation monitoring systems; ensures rapid deployment and payback.