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SGP7000 Comprehensive Monitoring and Intelligent Diagnosis System
By integrating online monitoring sampling data, spectrogram files, fault information and laboratory data of main equipment, the system employs advanced technologies such as artificial intelligence and large models to implement intelligent diagnosis of main equipment health status, predict medium and short-term evolution trends, and offer effective disposal recommendations.
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Transformer State Evaluation and Prediction
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Advanced In-House R&D
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Professional Engineering Implementation
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Professional Engineering Implementation
Product Highlights
Transformer State Evaluation and Prediction
Integrate monitoring data such as DGA and operational parameters to identify the health status of transformers and predict fault trends.
Advanced In-House R&D
The diagnostic link can be arranged to be visible and traceable, with authoritative and professional diagnostic basis to avoid machine hallucinations.
Professional Engineering Implementation
Reduce false alarm rate through cross-validation of multi-source data, automatically identify and label suspicious alerts, and provide confidence scores.
Professional Engineering Implementation
Based on state recognition and fault prediction, automatically output customized diagnostic reports and maintenance strategy suggestions
