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Digital Intelligence’s Industrial New Energy Large Model Application Commenced Operation

Author: Liu Ruiqi, Pu Meiming Source: Digital Intelligence Pubdate: 2025-03-26 Font size:【L M S

On March 11, the AI production and operation & maintenance assistant based on large models, jointly developed by Digital Intelligence Company and CHN Energy Guizhou Company, was officially launched on the New Energy Industrial Internet Platform of Guizhou Province, marking the first application of the large model in an industrial scenario for CHN Energy.

This innovative application deeply integrates natural language large models, voice interaction models, and retrieval-augmented generation (RAG) technology. Leveraging the independently developed AI agent development platform, it successfully connects with several mainstream large models, including DeepSeek, iFLYTEK Spark, and Tongyi Qianwen (Qwen). The assistant serves as a comprehensive tool for on-duty personnel, maintenance staff, and production managers, blending intelligent alerts, inquiries, supervision, and dispatching for new energy production and operation & maintenance.

Compatible with voice interaction, the AI production and operation & maintenance assistant is available for numerous scenarios, including daily management, operational duties, and equipment maintenance in the new energy sector to meet various user demands. In daily management, it offers key production management metrics, including power generation and plant electricity consumption rates, helping business managers evaluate production performance, optimize plans, and formulate strategies. In addition, through intelligent task supervision and progress tracking automation, it significantly reduces the risk of manual omissions and ensures a seamless and closed loop workflow. In operational duty scenarios, the intelligent assistant provides real-time alert information to centralized control operators, reminding them to take timely action while automatically switching monitoring systems and providing standardized operational guidance, thereby significantly enhancing the work efficiency of operators. In equipment maintenance scenarios, the intelligent assistant can automatically prompt potential failure points, maintenance risks & elements, and key operational norms based on integrated equipment manuals and standard maintenance procedures within its knowledge base.

The introduction of the AI production and operation & maintenance assistant for the new energy industrial Internet exemplifies the deep integration of specialized operational scenarios with large model technology, offering innovative solutions and paradigms for large model applications in the energy industry, and contributing to the intelligent development of new energy operation and management.

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