多源异构特征数据库

多源异构特征数据库主要面向物理制造资源状态的实时高精度感知方法研究需求建设，基于重庆大学制造工程研究所试验车间的智能生产线实时运行状态产生，主要记录了订单状态数据、生产进度数据、工艺参数数据、生产设备运行故障数据、刀具状态数据、机床运行数据、机床能耗数据、工业机器人电耗数据、工业机器人运行参数数据等观测值，数据量为58.20MB。

This multi-source heterogeneous feature database was constructed to meet the research requirements of real-time high-precision perception methods for the state of physical manufacturing resources. It is generated based on the real-time operating status of the intelligent production line in the test workshop of the Manufacturing Engineering Research Institute of Chongqing University. The database mainly records observation values including order status data, production progress data, process parameter data, operating fault data of production equipment, tool condition data, machine tool operation data, machine tool energy consumption data, power consumption data of industrial robots, and operating parameter data of industrial robots, with a total data volume of 58.20 MB.

搜集汇总

背景与挑战

背景概述

多源异构特征数据库主要记录了智能生产线实时运行状态的多源异构特征数据，包括订单状态、生产进度、工艺参数、设备运行故障等观测值，数据量为58.28MB，文件数为207个，格式为txt和docx。该数据集由重庆大学制造工程研究所建设，适用于物理制造资源状态的实时高精度感知方法研究。