- 20+
- Production Bases
- 400+
- Spare Parts Warehouses
- 6
- Regional Operation and Maintenance Service Centers
The DataSoul platform is built on digitization, informationization, and standardization, with artificial intelligence technology as assistance.
It ensures computational resource elasticity configuration and network awareness, with heterogeneous computing as the core task.
Through the cross-border integration of “human-machine-network-thing,”
it forms an open architecture at all levels, achieving intelligent operation and maintenance at different levels.
Parameters
- Integrated Monitoring
- Efficiency Evaluation and Diagnosis
- Intelligent Operation and Maintenance Collaboration
- Integrated Decision Support System
Integrated Monitoring
An integrated data acquisition routing system based on self-developed services that include data integration, data processing and computation, data forwarding, among others. This system enables panoramic monitoring of units, transformer substations, met masts, personnel health wristbands, network equipment, and other station-side equipment. The energy management module can automatically track grid dispatch instructions, thus achieving automatic control of the overall wind farm output.
Efficiency Evaluation and Diagnosis
Based on three major systems of wind energy capture, mechanical energy transmission, and electrical energy conversion, a multi-dimensional evaluation system is established using various assessment indicators. This system not only enables the objective evaluation of the power generation performance of the units, precise identification of low-efficiency units, and root cause analysis, but also facilitates synergistic comprehensive energy management scheduling to maximize electricity generation utilization rates.
Intelligent Operation and Maintenance Collaboration
By employing adaptive optimization algorithms, a multi-objective collaborative decision model is established integrating meteorological data, work orders, spare parts inventory, and unit status. This model provides the optimal operation and maintenance window, enabling rational allocation of resources such as vehicles, ships, and personnel and forming the best scheduling plan. Additionally, the spare parts inventory management module features spare parts forecasting and inventory alert functions, ensuring strong support for rational spare parts inventory management.
Integrated Decision Support System
Based on diverse heterogeneous data from wind turbines, MingyangChat GPT leverages artificial natural language recognition technology and knowledge graph technology to establish an integrated decision support system. By creating a cognitive intelligent expert specialized in the wind power industry, it accurately identifies the root causes of faults, efficiently resolves equipment failures, and provides strong reference for differentiated intelligent operation and maintenance.
