The Wind Power Group
Database Replacement and Upgrade
Contact UsBusiness Background
In the new energy era, wind power is transitioning from a supplementary role to a pillar of the energy transition. Strengthening the digital and intelligent capabilities of wind power enterprises is therefore strategically important. A leading large-scale wind power equipment company has deployed 96 wind turbines and each turbine generates 7 billion data records at a daily basis. However, the company’s self-developed SCADA system encountered great technological bottlenecks in actual operation.
Business Challenges
In the harsh environment of unattended wind farms, the original system faces severe tests of time-series performance, intelligence, and cost optimization
Weakness in Time-series Data Processing
The Wind power scenarios are characterized by small-scale, remote and scattered sites that require second-level data storage for unattended operation. The original MySQL only supports minute-level data processing and cannot support massive time-series data storage and management.
Lack of AI-driven Intelligent Applications
Existing wind data was limited to basic storage and monitoring. The SCADA system lacked advanced analytics capabilities and could not integrate with mainstream AI platforms. This significantly restricted full data analysis and predictive insights, slowing the development of AI-driven intelligent applications.
Growing Cost for Data Storage
The wind power enterprise relies solely on hardware sales for its revenue, while the SCADA system is provided free of charge as supporting software. Therefore, it is critical to minimize data storage costs. As the wind turbine data volume continues to grow rapidly, a cost-effective database solution is urgently needed to reduce expenses.
KaiwuDB Solution
Smooth Migration of Historical Data
KaiwuDB Data Transfer Service enables fast and reliable data migration from MySQL to KaiwuDB, ensuring full data consistency and non-disruptive replacement.High Compatibility
KaiwuDB is compatible with MySQL protocols and SQL syntax, requiring minimal business modifications and low application transformation costs. It supports complex functions and statements to meet advanced data query and analysis requirements.High-Performance Time-Series Data Processing
KaiwuDB’s time-series engine delivers efficient data read/write and query capabilities for hundreds of wind turbines. It offers excellent real-time data ingestion performance and millisecond-level query response.
Client Benefits
100% Smooth Replacement
KaiwuDB is adopted for data storage to ensure data security and stability. It is fully compatible with MySQL protocols and standard SQL syntax, enabling 100% smooth replacement with minimal application modification and low costs.
Storage Cost Reduction
With a data compression ratio of 5–30x and comprehensive data lifecycle management, KaiwuDB effectively reduces storage cost for massive data volumes.
High-performance Data Ingestion
Refined data granularity leads to exponential data growth. KaiwuDB easily supports daily high-volume data ingestion without additional hardware resources.
Intelligent Decision Support
KaiwuDB’s innovative in-data computing technology supports AI-driven analysis and refined operation, enabling early prediction, detection and intervention for wind turbine faults, reducing labor cost by over 30%.