WINDEY’s Official Access to DeepSeek, Empowering the Wind Power Industry Chain with AI
Recently, WINDEY has officially completed work in relation to integration of the DeepSeek large model into its own wind power big data platform, and successfully deployed this model in the WINDEY Cloud Computing Data Center. Taking this as a new starting point, WINDEY will capitalize on AI technology to fully expand the intelligent application scenarios across the entire chain of the wind power industry.
Technological Foundation: A Powerful Combination of Domestic Computing Power and Large Model
The DeepSeek-R1 large model, which was deployed by WINDEY this time, has the core advantages such as low cost, high performance and domestic adaptation. So far, it has reached the international top level. In addition, relying on WINDEY Cloud Computing Data Center’s green computing power infrastructure, WINDEY has achieved high-efficiency deployment of this model on the domestic GPU cluster, forming a technological closed loop of "Domestic large model + domestic computing power", and greatly enhancing WINDEY’s security capabilities and business efficiency.
Intelligent Empowerment: Reshape the Life Cycle for Improving Quality and Efficiency
Relying on the platform’s strong computing power, the DeepSeek large model will deeply get involved in the life cycle of wind power project development.
For wind farm site selection, the DeepSeek large model can make full use of AI’s in-depth thinking ability to analyze massive meteorological, geographical, and other data. By calculating the distribution of wind resources under different terrains, it can provide a more complete scientific basis for the site selection of wind farms.
For generator set design, the AI-driven business verification model can assess the design effect, and give accurate feedback on the blade design, thereby improving the aerodynamic efficiency of blade design and increasing power generation efficiency.
For production and manufacturing, the AI’s logical advantages will be leveraged for in-depth analysis of supply chain data, which will be conducive for acc
