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Smart Wind Farm Big Data Platform

NegotiableUpdate on 01/29
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Overview
The smart wind farm big data platform is an extended platform based on the secondary development of the existing SCADA system of the wind farm, aiming to improve the operation and maintenance efficiency and intelligence level of the wind farm through data analysis and visualization.
Product Details

Smart Wind Farm Big Data PlatformDeploying in the centralized control center, it is capable of statistical analysis and early warning of data at the level of wind turbines, wind farms, and regions. It supports horizontal and vertical comparison of real-time and historical data, helping to detect abnormal wind turbines and provide intelligent warnings. This platform achieves flexible deployment through B/S architecture, supports cross platform operations, and is easy to maintain and expand. Its application scenarios cover equipment terminals such as wind turbines, wind farms, and booster stations, and can achieve real-time monitoring and analysis of data through transmission networks such as 5G/4G/Wifi/private networks. The wind power big data platform not only improves the operation and maintenance efficiency of wind farms, but also provides strong support for the intelligent management of wind farms.


Smart Wind Farm Big Data PlatformKey Features

1. Data statistics and visualization: Based on real-time and historical databases of SCADA system, important data of wind farm and wind turbine are statistically calculated and visualized, supporting horizontal comparison of multiple devices and correlation analysis of multiple factors.

2. Intelligent warning: supports grouping of wind turbines, batch setting of sampling point warning models, realizing intelligent warning based on absolute and relative values, and helping to detect abnormal events in a timely manner.

3. Monitoring of operational indicators: Provide calculation of operational indicators at the level of wind turbines, wind farms, and regions, such as operating hours, number of failures, etc., to help evaluate operational efficiency.

4. Report generation: Supports statistical calculation and report export of business and operational indicators, facilitating operational decision-making.

5. Task management and spare parts management: Support centralized management of task planning, reminders, and spare parts to improve the efficiency and coordination of operation and maintenance processes.