Solusyon sa Pampuno nga Siklo sa Intelligente O&M para sa Air-Insulated Switchgear Voltage Transformer (AIS VT): Pagbabago nga Gipangulohan sa O&M

Pagkakataon Overview:
Tinatanggihan ang mga problema sa tradisyonal na AIS VT operation and maintenance (O&M) models, ang solusyon na ito ay gumagamit ng tatlong lebel na teknolohikal na arkitektura – "Sensing & IoT - Digital Twin - Predictive Decision-Making" – upang lumikha ng isang intelligent O&M closed loop na sumasaklaw sa buong siklo ng equipment. Core Objective: Palitan ang mga experience-driven approaches sa pamamagitan ng data-driven insights, nagbabago mula sa reactive repairs tungo sa proactive prevention, makamit ang doble pang pagbawas sa O&M costs at risks.

I. Pagtutugon sa Tradisyonal na O&M Pain Points

High-Cost Periodic Testing: Nagpapabatas sa schedule na offline tests, nakokonsumo ng malaking manpower, resources, at outage windows, nagreresulta sa patuloy na mataas na overall maintenance costs.
Challenge of Sudden Insulation Failures: Ang mga tradisyonal na monitoring methods ay nasa huli, hindi makapagbibigay ng epektibong deteksiyon sa insulation aging (e.g., moisture ingress, degradation) o latent defects (e.g., partial discharge). Mahirap na prediction ng failure nagdudulot ng mataas na panganib ng unplanned outages.

II. Innovative Intelligent O&M Architecture & Core Technologies

Intelligent Sensing Layer: Embedded IoT Condition Monitoring Module

Real-time Core Parameter Acquisition:

Dielectric Dissipation Factor (tanδ): Nagsasagawa ng accurate monitoring sa insulation aging state at moisture ingress trends – isang core indicator ng insulation health.
Partial Discharge (PD): High-frequency sensors na nagsasalamin ng mahinang discharge signals sa loob o sa ibabaw ng insulation upang matukoy ang early-stage insulation defects.
Temperature (T): Real-time monitoring ng critical point temperatures (e.g., windings, terminals) na nagsasalamin ng overload, poor contact, o abnormal cooling.

Features: Modular design, live-line installation, strong electromagnetic interference (EMI) immunity, high-frequency data sampling (upang makuha ang transient PD signals).

Intelligent Analytics Layer: AIS VT Digital Twin Platform

Multi-source Data Fusion: Naglilipat ng real-time sensor data, historical test reports, SCADA operational records, at equipment profile information.
Precise Remaining Useful Life (RUL) Prediction: Gumagamit ng machine learning algorithms (e.g., LSTM, ensemble learning) upang mag-training ng multi-dimensional degradation models, makamit ang <10% margin of error, visual na quantifying ang "remaining health lifespan" ng equipment.
3D Visualization & Health Assessment: Naglilikha ng virtual replica ng device, dinamically displaying insulation status, hotspot distribution, at risk levels, suportado ng "one-click" diagnosis.

Intelligent Decision Layer: Predictive Maintenance Strategy Engine

Dynamic Inspection Optimization: Automatic adjustment ng inspection cycles at tasks batay sa real-time health scores output ng platform (e.g., extended intervals para sa healthy devices, targeted enhanced monitoring para sa sub-healthy devices), pababain ang ineffective inspections at O&M manpower input hanggang 30%.
Precision Maintenance Triggering: Nakagagenerate ng maintenance work orders automatic batay sa RUL predictions at condition thresholds (e.g., tanδ surge alert prompting inspection, PD exceeding limits triggering urgent defect elimination), nagpre-prevent ng over-maintenance at under-maintenance.
Hierarchical Alarms & Decision Support: Defining parameter abnormality levels, pushing differentiated alerts (Warning / Alert / Critical); providing knowledge base support para sa fault location, root cause analysis, at corrective action recommendations.

III. Ideal Application Scenarios

Metropolitan Core Substations: Sinisigurado ang napakataas na power supply reliability requirements habang pinabababa ang dependence sa manpower-intensive O&M dispatching.
Renewable Energy Plant Step-up Substations (PV/Wind): Tumutugon sa mga hamon ng unmanned operation sa remote areas, nagbibigay ng remote, refined equipment condition management.
Critical Transmission Nodes & Key Consumer Substations: Minimize ang unplanned outage risks sa pinakamataas na antas, pinauunlad ang power supply continuity.

IV. Core Value & Advantages (Quantified Results)

Metric	Traditional Mode	This Intelligent O&M Solution	Improvement Effect
Annual O&M Cost	Baseline (100%)	Reduced by 35%	Significant Cost Savings
Mean Time To Repair (MTTR)	> 24 hours (Complex faults)	≤ 4 hours	>80% Efficiency Gain
Unplanned Outage Count	High	Significantly Reduced	Enhanced Reliability
Manpower Dependence	High	Reduced by ~30%	Optimized Resource Allocation
Failure Prediction Capability	Almost None	High Precision (RUL error <10%)	Proactive Risk Prevention & Control