2024年-2025年纺织印染行业面向生产工艺预测的数据集

该数据集主要来源为公开收集与协议取得，产业大脑相关技术人员在全国各类纺织印染企业调研过程中记录；产业大脑与印染企业签署数据授权协议，从染缸集控中取得当前设备数据。数据集主要内容为当前步骤、温度、升温速率、当前操作、设定温度速率、工艺开始时间、采集时间等工艺方面的数据。数据集主要场景：可通过AI对企业工艺进行过程中设备数据进行分析，优化生产排程，减少设备闲置与物料浪费，提升生产效率。对生产过程中的设备指标阈值进行预测，减少工艺失误概率，助力企业对生产管控精细化升级。

This dataset is primarily sourced from public collection and legally obtained via signed agreements. Relevant technicians from the Industrial Brain collected records during field surveys across various textile and dyeing enterprises nationwide. The Industrial Brain signed data authorization agreements with these enterprises to obtain real-time equipment data from dye vat centralized control systems. The core content of this dataset includes process-related data such as current production step, temperature, heating rate, current operation, set heating ramp rate, process start time, and collection time. The key application scenarios of this dataset are: 1) Enabling AI-powered analysis of equipment data during enterprise production processes to optimize production scheduling, reduce equipment idle time and material waste, and improve overall production efficiency; 2) Supporting the prediction of equipment indicator thresholds during production, lowering the probability of process errors, and facilitating refined upgrades of enterprise production management and control.

搜集汇总

背景与挑战

背景概述

该数据集整合了纺织印染企业的染缸集控设备数据，包含温度、操作步骤等工艺参数，用于AI驱动的生产优化和工艺预测，旨在提升效率并减少浪费。