摘要
在传统水电站物资管理面临数据处理效率低下、采购决策依赖经验判断等挑战的背景下,某大型水电站结合智能仓储物资管理平台的实践经验,构建了以Coze主流AI agent平台、DeepSeek大数据模型及Python脚本插件为核心的物资管理技术体系。该体系通过自动化工具实现物资消耗的跨时段智能统计,借助工作流引擎整合多源数据生成采购建议,并基于预算约束动态优化采购策略,形成了覆盖物资管理全流程的智能化解决方案。实践表明:该方案有效提升了物资管理各环节的效率与科学性,为水电行业物资管理的数字化转型提供了可参考的实践范式。
Against the backdrop of challenges faced by traditional hydropower project material management,such as low data processing efficiency and reliance on experiential judgment for procurement decisions,a large hydropower project integrated practical experience from the intelligent storage material management platform to establish a material management technology system centered around the Coze low-code platform,DeepSeek big data model,and Python script plugin.This system employs automated tools for intelligent statistics on material consumption across time periods,integrates multi-source data through a workflow engine to generate procurement recommendations,and dynamically optimizes procurement strategies based on budget constraints,creating an intelligent solution that encompasses the entire process of material management.Practical experience indicates that this scheme significantly enhances the efficiency and scientific nature of all aspects of material management,providing a reference paradigm for the digital transformation of material management within the hydropower sector.
作者
张远洋
万明楼
于文杰
孟万里
张云松
汪彪
李冲
ZHANG Yuanyang;WAN Minglou;YU Wenjie;MENG Wanli;ZHANG Yunsong;WANG Biao;LI Chong(Yalong River Hydropower Development Co.,Ltd.,Chengdu,610051,China)
出处
《四川水力发电》
2025年第S2期32-34,40,共4页
Sichuan Hydropower
