基于工业大模型的矿山施工工艺诊断数据集

1. 通过对挖矿行业的工艺运行指南、专家共识等专业文献的深度挖掘，细致梳理了其中记载的各类常见分析诊断问题。 2．运用数据清洗技术剔除冗余与错误信息，最终提炼出工艺名称、仪表名称、仪表位置/作用、分析合理区间形态、推荐仪表的量程安装位置/处置方式以及就工艺段的精准关联。1. Through in-depth mining of professional literatures such as process operation guidelines and expert consensuses in the mining industry, various common analytical and diagnostic issues recorded therein are meticulously sorted out. 2. Redundant and erroneous information is eliminated using data cleaning techniques, and finally the process names, instrument names, instrument positions/functions, reasonable interval patterns for analysis, recommended instrument ranges, installation positions/disposal methods, as well as precise correlations corresponding to the respective process segments are extracted.

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数据集介绍

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该数据集由武汉华信数据系统有限公司开发，包含10000条矿山施工工艺诊断数据，主要用于矿山生产运营机构和仪器仪表设备厂商进行工艺段所需仪表及处置方式的智能化推荐。数据来源于企业数据，通过工业大模型技术和NLP技术进行清洗、标注和特征抽取，每年更新一次。