​​Application Background​Substations in coastal areas, chemical industrial parks, and regions with high salt-fog experience extreme environments characterized by persistently high air humidity (RH > 85%) and high concentrations of salt and industrial pollutants. Such environments pose significant challenges to current transformers (CTs) within AIS switchgear:​Insulation Deterioration:​​ Moisture and pollutants (salt, dust, chemical aerosols) adhering to and dissolving on insulation surfaces f

​I. Pain Point Analysis​Traditional Air Insulated Switchgear (AIS) Current Transformer (CT) operations face three key challenges:​Latent Failures Undetectable:​​ 73% of CT failures originate from terminal overheating or partial discharge, which conventional inspections fail to capture in real-time.​Excessive Maintenance Costs:​​ Fixed planned maintenance cycles (every 5 years) result in over 30% of unnecessary maintenance expenditure.​Delayed Spare Part Response:​​ Spare part procurement lead ti

​I. Project Background​With the New Power System's escalating demands for dynamic monitoring accuracy, equipment compatibility, and data intelligence, traditional Air Insulated Switchgear (AIS) Current Transformers (CTs) urgently require digital transformation to achieve the following breakthroughs:​Compatibility Conflict:​​ Need to simultaneously support both traditional analog substations and digital substations.​Accuracy Bottleneck:​​ Insufficient PMU (Phasor Measurement Unit) synchronization

​Challenge Objective:​​ Address the pain points of conventional Air Insulated Switchgear (AIS) Current Transformers (CTs) regarding measurement accuracy (especially under overload and transient conditions), mechanical stability, and long-term reliability. Achieve core technological innovation to comprehensively enhance product performance.​Core Technology Optimization Solutions:​​​Ring Core Material Revolution: Nanocrystalline Alloy Replaces Silicon Steel​​Core Solution:​​ Abandon traditional si

​Solution Overview:​​Addressing the pain points of traditional AIS VT operation and maintenance (O&M) models, this solution leverages a three-tiered technological architecture – "Sensing & IoT - Digital Twin - Predictive Decision-Making" – to create an intelligent O&M closed loop spanning the entire equipment lifecycle. Core Objective: Replace experience-driven approaches with data-driven insights, shifting from reactive repairs to proactive prevention, achieving dual red

​​Core Objective:​​ Precision Improvement and Insulation Reinforcement​Applicable Scenarios:​​ Coastal power plants, chemical plants, high-humidity/high-pollution harsh environments​I. Technical Pain Points Analysis​Traditional AIS-VT faces two core issues in complex environments:​Precision Drift:​​Dielectric constant variation due to humidity fluctuations and contaminant accumulation, causing secondary-side output error exceeding limits (>Class 0.5).​Insulation Failure Risk:​​Surface flashov

​​Industry Pain Point Analysis​Traditional voltage transformers face two major safety hazards under harsh conditions:​Seismic Vulnerability:​​ Porcelain insulators prone to brittle fracture under earthquake or short-circuit current impact, leading to secondary short-circuit explosions.​Rupture Risk:​​ Metal enclosures susceptible to rupture during internal arc faults, with SF₆ gas leakage exacerbating accident severity.​Innovative Solution Architecture​​I. Triple Seismic Protection System​•

During the upgrade and renovation of power supply systems in urban cores and rail transit, legacy substations often face the critical bottleneck of cramped space. Especially for Air-Insulated Switchgear (AIS), the dispersed arrangement of traditional Voltage Transformers (VTs) and their associated equipment (surge arresters, disconnectors) severely consumes valuable space, becoming a "bottleneck constraint" hindering retrofits and upgrades. To address this, we introduce the ​Compact and Integrat

​I. Industry Pain Points: Limitations of Traditional Solutions​In county-level distribution grids and infrastructure projects in developing countries, traditional Air-Insulated Switchgear Voltage Transformers (AIS VTs) face two core challenges:​High Customization Costs: Independent housing and winding designs are required for different voltage classes (66kV/110kV/220kV), resulting in inflated R&D and manufacturing costs.​Spare Parts Inventory Pressure: Multiple VT specifications necessitate

I. Core Challenges in Current Grid Intelligence Upgrades​Traditional Voltage Transformers (VTs), as critical grid monitoring equipment, face severe bottlenecks in digital transformation:​Lack of Dynamic Monitoring: Limited to basic voltage measurements; incapable of capturing millisecond-level transient events (e.g., voltage sags, harmonic distortions).​Untapped Data Value: Raw analog signals require multi-stage transmission and conversion, causing high latency and accuracy loss, hindering proac