基于deepseek大语言模型训练的生产知识库数据集

本数据集应用于基于生产制造数据的智能知识库构建场景，结合 DeepSeek 大语言模型、RAG 检索增强机制与 Agent 智能代理原理，为制造执行系统（MES）提供智能知识管理、问答服务与决策辅助能力。典型应用包括：输入设备振动数据，通过 RAG 机制检索相似故障案例，调用 DeepSeek 模型生成维修建议；结合历史工单与质检报告，Agent 自动识别“刀具寿命—加工参数”间的隐性关联，主动推送优化方案等，助力制造企业实现智能化运维与精准决策。

This dataset is designed for the scenario of building intelligent knowledge bases based on production and manufacturing data. It integrates the DeepSeek Large Language Model (LLM), Retrieval-Augmented Generation (RAG) mechanism, and AI Agent principles to provide intelligent knowledge management, question answering services, and decision-making assistance capabilities for Manufacturing Execution Systems (MES). Typical applications include: inputting equipment vibration data to retrieve similar fault cases via the RAG mechanism and invoking the DeepSeek model to generate maintenance recommendations; combining historical work orders and quality inspection reports, the AI Agent automatically identifies the implicit correlations between "tool life and machining parameters" and proactively pushes optimization plans, helping manufacturing enterprises achieve intelligent operation and maintenance and precise decision-making.

搜集汇总

背景与挑战

背景概述

该数据集是基于DeepSeek大语言模型训练的生产知识库数据集，主要用于生产制造数据的智能知识库构建，提供智能问答、知识自动化管理等功能。数据集包含10万条训练样本，数据格式为xlsx，并通过知识抽取、清洗与建模训练构建高效、安全、可扩展的生产知识库体系。