_{Case Study}

Intelligent Wind Farm Monitoring Solution

The Wind Turbine Health Monitoring Platform collects data from turbines via sensors, analyzes it, and ensures safe operation.

Solution Background

Traditional wind turbine management is facing numerous challenges and often finds itself in a reactive mode. To address this, it is necessary to install corresponding sensing devices within the wind turbine structural system and utilize online monitoring technologies to achieve real-time sensing of operational conditions and timely warnings of equipment hazards. This assists managers in making informed decisions and issuing appropriate instructions, enabling early detection and prompt mitigation of potential accidents, ensuring the reliable operation of the structure in a consistently good condition.

Safety concerns

economic losses

turbine failures

Solution Components

turbine vibration monitoring

tracking fault frequencies of major components, and operational status

Configure settings for total vibration value, broadband energy, narrowband energy, time-domain waveform, power spectral density curve, long data acquisition, envelope spectrum parameters, and SFI (Spectral Fatigue Index) parameters.

tower Real-time monitoring

Settlement, Sway Displacement, Stiffness Circle Analysis

Wind turbine tower sway, tilt, and uneven settlement monitoring system for ensuring tower safety. It provides real-time monitoring of tower tilt angle, sway displacement, and uneven settlement of the tower base.

Blade condition monitoring

Diagnostic Analysis: Changes in Natural Frequencies, Imbalance of the Three Blades

Users can analyze turbine blade conditions systematically using various diagnostic tools. These tools detect trends in blade natural frequencies, imbalance, similarity among the three blades, effective values, and frequency amplitude scatter plots.

Solution Main Functions

Monitoring Data Collection

Integrating sensor tech, signal processing, and computing enables real-time wind turbine monitoring. Data is collected and sent to the control room server for processing and analysis.

Algorithm Development

Edge computing and deep learning analyze data, generating control commands for wind turbines based on processed results stored in a server.

Alarm Notifications

Multiple warning settings ensure system safety, with notifications available via LAN Web and App, supporting email and SMS alerts.

Expert Diagnostics

The Remote Monitoring Center offers fault warning, emergency handling, expert consultation, and on-site diagnostics to promptly address issues until resolved.