色织机器人化自动生产线生产过程数据

本数据集源自国家重点研发计划智能机器人重点专项“面向织材行业机器人自动化关键技术及应用示范”（项目编号：2022YFB4700600）课题3“民用色织示范线”。该数据集主要面向纺织行业机器人自动化、生产线系统集成及智能调度等相关领域的研究与需求建设。基于鲁泰纺织股份有限公司的民用色织示范线，通过部署《色织机器人自动化生产线系统集成》软件，在分层分布式模块化共性体系结构下实时产生并记录 。
数据集的主要意义在于验证共性架构的集成优势，实现产线全流程的互联互通、实时监控与异常监测，显著提升了织材行业的智能化水平及管理决策效率。数据记录了涵盖络筒、整经、浆纱、织造、分拣等色织生产全流程的机器人运行轨迹与点位信息，主要内容包括：
1.量化指标数据：权威检验机构测算的15类机器人、35台套设备及9套机器视觉系统的配置数据，以及95%的产线自动化率、35%的人工替代率（一线用工由181人减至118人）和核心易损件≥8000小时的平均无故障时间等关键性能指标。还有软件系统的测试数据。
2.现场运行日志：包括落纱复合机器人、挂纱机器人、筒纱转移机器人及拆垛机器人等核心装备的设备ID、状态（在线/离线）、实时点位信息及精确到秒级的上报时间戳（覆盖2025年10月等典型运行周期）。
3.软件系统理论模型设计和实施：多机器人协同的色织生产线工艺集成与信息化管理系统的设计和实现。包括软件系统架构图，现场实施图和色织机器人自动化产线界面等研究成果。
4.数据体量方面，本数据集与实际产线配置保持高度一致，共包含15类35台套机器人的实时运行轨迹数据、9套视觉识别系统的交互数据，以及针对19个全自动细分工序的自动化作业记录 。
该数据集为色织行业实现“机器换人”提供了真实可靠的测算基础与运行基准。

This dataset originates from Task 3 "Civilian Dyed Weaving Demonstration Line" of the Key Special Project of Intelligent Robotics under the National Key R&D Program of China, titled "Key Technologies and Application Demonstration of Robot Automation for Textile Weaving Industry" (Project No.: 2022YFB4700600). This dataset was developed to meet the research and application demands in fields such as robot automation in the textile industry, production line system integration and intelligent scheduling. It is generated and recorded in real time under the hierarchical distributed modular common architecture by deploying the "Integrated System of Dyed Weaving Robot Automation Production Line" software on the civilian dyed weaving demonstration line of Lutai Textile Co., Ltd.

The core value of this dataset lies in verifying the integration advantages of the common architecture, realizing end-to-end interconnection, real-time monitoring and anomaly detection of the entire production line, and significantly improving the intelligent level and management decision-making efficiency of the textile weaving industry. The dataset records the robot operation trajectories and position information covering the entire dyed weaving production process including winding, warping, sizing, weaving and sorting. The main contents are as follows:
1. Quantitative indicator data: Configuration data of 15 types of robots, 35 sets of equipment and 9 sets of machine vision systems measured by authoritative inspection institutions, as well as key performance indicators including 95% production line automation rate, 35% labor replacement rate (frontline workforce reduced from 181 to 118 persons), and mean time between failures (MTBF) of core wearing parts ≥8000 hours. It also includes test data of the software system.
2. On-site operation logs: Include equipment ID, status (online/offline), real-time position information and second-level reporting timestamps of core equipment such as doffing composite robots, yarn hanging robots, cone yarn transfer robots and unstacking robots, covering typical operation cycles such as October 2025.
3. Theoretical model design and implementation of the software system: Design and implementation of the process integration and information management system for dyed weaving production line with multi-robot collaboration. It includes research achievements such as software system architecture diagrams, on-site implementation diagrams and user interfaces of the dyed weaving robot automated production line.
4. In terms of data scale, this dataset is highly consistent with the actual production line configuration, and includes real-time operation trajectory data of 15 types and 35 sets of robots, interaction data of 9 sets of visual recognition systems, and automated operation records for 19 fully automated refined working procedures.

This dataset provides a reliable and authentic measurement basis and operation benchmark for the realization of "machine replacement" in the dyed weaving industry.

搜集汇总

背景与挑战

背景概述

该数据集源自国家重点研发计划，面向纺织行业机器人自动化，基于民用色织示范线实时记录色织生产全流程的机器人运行轨迹与点位信息。数据集包含量化指标、现场运行日志和软件系统理论模型，用于验证共性架构集成优势，提升产线智能化水平和管理决策效率。