基于知识图谱和自然语言处理的数字化转型智能评审模型

基于知识图谱和自然语言处理的数字化转型智能评审模型：在制造业向数字化转型的过程中，顶层策略与底层执行之间的断层常常导致资源的低效配置与盲目投入。本模型旨在优化顶层策略的制定与执行层面的协同，实现精准投资与高效建设，由两大关键组件构成：知识图谱模块与本地大语言模型模块，二者紧密合作，共同促进制造业数字化转型的智能化进程。Intelligent Review Model for Digital Transformation Based on Knowledge Graph and Natural Language Processing: During the digital transformation of the manufacturing industry, the gap between top-level strategies and on-site execution often leads to inefficient resource allocation and blind investment. This model aims to optimize the collaboration between top-level strategy formulation and execution, achieve precise investment and efficient construction, and is composed of two core modules: the knowledge graph module and the local large language model (LLM) module. The two modules work closely together to promote the intelligent advancement of digital transformation in the manufacturing industry.

搜集汇总

背景与挑战

背景概述

该数据集是一个用于制造业数字化转型的智能评审模型，由知识图谱模块和本地大语言模型模块组成，旨在优化顶层策略与执行层面的协同，实现精准投资与高效建设。