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OM.R921-V Transformer Acoustic Fingerprint Online Monitoring System
Keywords:
Category:
Intelligent Transformer Monitoring Product Series
- 产品描述
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- Commodity name: OM.R921-V Transformer Acoustic Fingerprint Online Monitoring System
Product Overview
An online monitoring system for power equipment based on voiceprint recognition uses microphones to capture acoustic signals emitted during equipment operation, enabling real-time monitoring of transformer (reactor) conditions. This approach provides comprehensive insights into the equipment's actual operational status, helping optimize substation system management. Ultimately, it plays a crucial role in enhancing maintenance efficiency, improving equipment reliability, and extending the service life of the devices—making it highly relevant in today’s power infrastructure.
Product Features
● Continuous Distributed Monitoring
● Safe and Reliable
● Free from electromagnetic interference, inherently lightning-proof
● Highly intelligent, enabling unattended operation
● Simple construction, convenient maintenance
Advantageous Features
● Introduce existing voiceprint recognition theories into the field of fault diagnosis, extracting voiceprint features embedded in sound signals captured under various equipment conditions to achieve comprehensive perception of equipment status.
● The collector features a built-in DSP voiceprint noise reduction algorithm and proprietary sound layering technology.
● Utilizing deep learning algorithms for online monitoring of transformer equipment status and fault prediction, along with a visualized operation platform.
● By transforming fault diagnosis tasks into image recognition problems, we can accelerate both the model training and recognition speed for voiceprint pattern identification. This approach also eliminates the uncertainty associated with manually extracting features, while significantly reducing the time required for fault diagnosis.
● The acoustic fingerprint-based intelligent diagnostic system for transformer condition monitoring enables 24-hour real-time diagnosis while supporting specialized audio analysis, further enhancing both the accuracy and breadth of identification.
System ParametersOn-site Cases


State Grid Shaanxi Ankang 750kV Substation Main Transformer and High-Voltage Reactor Monitoring State Grid Anhui Chizhou 220kV Guanniu Substation
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