Core Insights - The rapid advancement of digital technology is driving the development of the data industry, with an increasing number of companies emerging to explore data value [1][3] - Data is becoming an essential internal demand for enterprises, necessitating a shift towards data-driven management to enhance the efficiency of industrial chains [3][4] - There is a growing consensus across various sectors on the importance of activating data value, with nearly 500 digital technology companies established by central enterprises and about 66% of industry leaders having purchased data [3][4] Group 1 - The National Energy Investment Group is leveraging data to empower the entire industrial chain, focusing on coal, electricity, transportation, and chemicals to achieve high-quality intelligent development [3][4] - The company is developing industry-specific large models, such as the "Qingyuan" model for the power generation sector, which covers critical business areas like safety, environmental protection, and equipment maintenance [4] - The group is also utilizing high-quality data to support typical applications, including coal quality testing, energy meteorology integration, and smart chemical processes, aiming to create a new blueprint for data application [4]

放眼整个发电行业，拥抱人工智能早已是共识。和国家能源集团并称为"五大"的其它发电央企——中国 华能、中国华电、国家电投、大唐集团，也都在积极推进AI应用。大家普遍采用了像DeepSeek这样先 进的国产大模型作为技术基础，并在本地安全部署。当前的应用主要集中在利用AI提高办公效率（比 如智能处理公文、撰写报告、整理会议纪要）、辅助设备维护（预测设备可能出现的故障）以及构建企 业知识库等方面。这些应用都是非常有价值的尝试，显著提升了工作效率和管理水平。 然而，国家能源集团的"擎源"大模型，在深度和广度上迈出了更关键的一步。如果说其他集团目前主要 是在利用AI"优化工具"和"辅助管理"，那么国家能源集团则是利用"擎源"这个强大的"行业大脑"，尝试 对发电的核心业务流程——从电力市场交易博弈、到多能源协同生产调度、再到设备预测性维护和安全 风险管控——进行一场全链条的智能化重构和决策升级。它不仅仅是一个好用的工具，更在努力成为驱 动整个发电系统更智能、更经济、更安全运行的"中枢神经系统"。 未来已来，AI在能源领域的应用前景无比广阔。"擎源"大模型只是一个开始。国家能源集团计划在今年 年底前，将大模型的应用扩展到其 ...