起重机全生命周期MRO知识图谱数据集

2023-2024年间通过工业物联网设备实时采集的起重机运行数据，整合组内积累的关于起重机MRO服务相关知识。起重机MRO知识图谱数据集，包含设备结构知识、维护维修方法、故障信息等领域知识和及状态检测数据，内含一个知识图谱数据集文件及1个数据集说明文件。采用多源异构数据融合技术，通过以下方式构建：1）部署振动、温度、压力传感器组实时采集设备工况数据2）采用NLP技术处理起重机MRO服务知识相关文本获取实体和关系。

This is a crane operation dataset collected in real time via industrial IoT devices between 2023 and 2024, integrated with the in-house accumulated knowledge related to crane MRO services. The crane MRO knowledge graph dataset covers domain knowledge including equipment structure knowledge, maintenance and repair methods, fault information, as well as condition monitoring data, and contains one knowledge graph dataset file and one dataset description file. It is constructed using multi-source heterogeneous data fusion technology through the following approaches: 1. Deployed sets of vibration, temperature and pressure sensors to collect real-time equipment operating condition data; 2. Applied NLP technology to process texts related to crane MRO service knowledge to extract entities and relationships.

搜集汇总

背景与挑战

背景概述

该数据集是一个专注于起重机全生命周期MRO（维护、维修、运行）的知识图谱数据集，基于2023-2024年工业物联网实时采集数据构建，整合了设备结构、维护方法和故障信息等多领域知识。它采用多源异构数据融合技术，结合传感器组和自然语言处理技术，以支持起重机的状态检测和智能服务应用。