数智驱动下风电类研究生协同能力培养机制构建与实践

Construction and Practice of Collaborative Ability Training Mechanism for Wind Power Graduate Students Driven by Digital Intelligence

摘要: 面向“双碳”战略下风电产业数智化深度转型对高层次复合型人才的迫切需求，针对传统研究生培养中校企协同松散、全链条能力割裂、实践场景滞后产业前沿等突出问题，本研究构建了“发–变–输–配–用”全链条协同能力培养机制。创新提出“数智双环协同育人”模型，通过需求侧产业能力图谱锚定培养目标、供给侧数智技术重构培养路径，实现校企多主体、跨环节、深层次的协同育人。依托校企协同培养计划、数智协同学习平台与动态评估反馈体系三大实施载体，推动研究生在风资源评估、机组设计仿真、场站建设运维、智能并网调度及终端高效用电五大环节形成贯通式工程能力。实践表明，该机制有效破解了产教“两张皮”困局，研究生核心协同实践能力显著跃升，为新能源领域拔尖创新人才培养提供了可复制范式。

Abstract: In response to the urgent demand for high-level interdisciplinary talents under the deep digital-intelligence transformation of the wind power industry in the context of the “dual carbon” strategy, and targeting the prominent problems of loose university-enterprise collaboration, fragmented full-chain capabilities, and outdated practical scenarios in traditional graduate training, this study constructs a full-chain collaborative ability training mechanism covering “generation-transformation-transmission-distribution-utilization”. Innovatively proposing the “digital-intelligence dual-loop collaborative education” model, which anchors training objectives through demand-side industrial capability mapping and reconstructs training paths through supply-side digital intelligence technology, achieving multi-subject, cross-link, and deep-level collaborative education among universities and enterprises. Relying on three implementation carriers—university-enterprise collaborative training plans, digital-intelligence collaborative learning platforms, and dynamic evaluation feedback systems—graduate students are promoted to form integrated engineering capabilities across five major links including wind resource assessment, unit design simulation, station construction and operation, intelligent grid dispatch, and terminal efficient power utilization. Practice shows that this mechanism effectively breaks the dilemma of education-industry disconnection, significantly improves the core practical abilities of graduate students, and provides a replicable paradigm for the cultivation of top innovative talents in the new energy field.