CN EN
Visualized High-voltage Main Transformer Safety Monitoring System
Visual high-voltage main transformer safety monitoring system
The system achieves synchronous data collection and directional analysis of the additional electromagnetic oscillation signals of the transformer by applying the matrix arrangement of electromagnetic oscillation sensors, realizes the diagnosis and early warning of latent faults during the operation of the transformer, and automatically pushes operation and maintenance suggestions to avoid major damage accidents of the transformer. The grounding microcurrent module is used to promptly capture the discharge faults of the transformer. Timely identify internal and external faults of the transformer, such as winding deformation, core faults, and internal and bushing discharge faults of the transformer for monitoring and early warning. Fault monitoring and early warning for issues such as moisture or damage to the internal insulation of the transformer, multi-point grounding of the core, foreign objects in the box, and sludge deposition in the oil tank.

Key technologies

Apply the principle of electromagnetic oscillation to fault diagnosis; Introduce intelligent monitoring technology for microcurrents in transformer core grounding to detect minute discharges. Deeply develop the online intelligent diagnosis function of transformer chromatography; Develop an expert knowledge base for various internal and external faults of transformers, and establish multi-source coupling analysis and diagnosis models for electromagnetic oscillation, chromatography online and microcurrent.

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Expected effect

Realize the synchronous data acquisition and directional analysis of the additional electromagnetic oscillation signals of the transformer; Continuously collect information on the deterioration of transformer insulating oil components, intelligently analyze chromatographic information characterizing internal faults of transformers, and use it for qualitative analysis of more significant discharge faults. With the help of microcurrent sensors, discharge faults inside and outside the transformer can be captured in a timely manner.

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