Conventional Power
Ultrasonic signals from partial discharge in power equipment, such as transformers and switchgears, are inaudible to the human ear, and traditional ultraviolet inspection leaves critical blind spots. Combining AI soundprint monitoring with acoustic imaging, our solution accurately identifies and rapidly pinpoints insulation faults and loose components.
AI Acoustic Signature Monitoring Solution
8-mic Industrial Microphone
AI Acoustic-Vibration-Temperature Sensing Solution
Wireless Acoustic-Vibration-Temperature Sensor
AI Acoustic-Vibration-Temperature Sensing Solution
Wireless Acoustic-Vibration-Temperature Sensor
AI Acoustic-Vibration-Temperature Sensing Solution
Wired Acoustic-Vibration-Temperature Sensor
AI Acoustic Imager
Handheld Acoustic Imager
AI Acoustic Imager
Online Acoustic Imager
AI Acoustic Imager
Airborne Acoustic Imager
Customer Case
AI Acoustic Signature Monitoring Solution for State Grid Zhejiang’s EHV Substations
Application Scenario
Previously relying on manual patrols, multiple Extra-High Voltage (EHV) substations under State Grid Zhejiang faced potential delays in fault detection. By deploying the iFLYTEK AI Acoustic Signature Monitoring Solution, the utility achieved 24/7 continuous real-time monitoring, transitioning grid operations from broad scheduled overhauls to targeted maintenance.As a result, critical transformer service life has been extended by 3 to 5 years, while total lifecycle costs (LCC) have decreased by 15%–20%—providing a robust technological foundation for the safe and efficient operation of the provincial power grid.
AI Acoustic Signature Monitoring Solution for Mega-Hydropower Assets at Three Gorges
Application Scenario
A mega-hydropower station at Three Gorges deployed the iFLYTEK CXL Acoustic-Vibration-Temperature Monitoring System to implement partial discharge (PD) early warnings and trend analytics for its Gas-Insulated Transmission Lines (GIL). Utilizing 144 contact-type acoustic and vibration sensors for multi-dimensional data acquisition, the platform delivers a 48-hour advanced warning horizon for potential faults, boosts inspection efficiency by over 90%, and dynamically predicts equipment health degradation trajectories to optimize long-term O&M strategies.
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