面向电力物联网的智慧供应链自适应运营决策技术及优化算法模型应用研究

Research on Application of Adaptive Operation Decision Technology and Optimal Algorithm Model of Smart Supply Chain for Power Internet of Things

摘要: 从电网物资供应链管理现状来看，其工程类型和物资类型繁多，物资需求呈现纷繁复杂的特点。同时，电网供应链全链条的“数字化”覆盖性不足、精准性有待提高、业务内外部数据交互不足、缺乏策略上的融合协同、全过程数据高阶分析应用基础薄弱。针对以上问题，本文结合人工智能，通过对电网物资供应不同需求和供应条件的感知，根据一定的规则计算并启动相应的管理机制，实现对问题的及时响应和跟踪解决。通过具有自适应特点的机制将各类要素整合起来，构建物力集约化全环节管理策略集合和动态匹配库。通过研究形成基于大数据和人工智能等技术下的智慧供应链自适应运营模式落地实施方案，打造供应链采购供应策略整体自适应的运营模式，构建电力物资供应链的良性管理体系。

Abstract: From the current situation of power grid material supply chain management, there are various types of projects and material types and material requirements are complicated. At the same time, the “digital” coverage of the whole chain of the power grid supply chain is insufficient, the accuracy needs to be improved, the internal and external data interaction of the business is insufficient, and the foundation for high-level analysis of the whole process data is weak. In response to the above problems, this article combines artificial intelligence through the perception of the different needs and supply conditions of the power grid material supply, calculates and activates the corresponding management mechanism according to certain rule and realizes the timely response and tracking of the problem. Through the mechanism with self-adaptive characteristics, various elements are integrated to build a collection of material resources intensive management strategies and a dynamic matching library through research and formation of implementation plans for smart supply chain adaptive operation models based on technologies such as big data and artificial intelligence, to create an overall adaptive operation model for supply chain procurement and supply strategies, and build a benign management system for the power supply chain.