中文摘要：

针对目前钢铁企业产能状态时序数据预处理方法难以保证产能数据及时准确更新、状态描述信息不失真等问题,提出了支持产能时序预测的数据动态重构技术,研究了相应的产能状态数据梳理、清洗和映射等过程处理方法,建立了基于动态重构技术的产能状态数据同化模型,给出了基于特征属性匹配的同化数据快速检索方法。结合某特殊钢集团企业产能状态时序数据的实际预处理过程进行了应用验证研究和案例分析。

英文摘要：

Current methods of production capacity state time-series data preprocessing were difficult to ensure accurate data update timely and distortion-free production capacity sate description.To deal with these problems,a novel method supporting data dynamic reconfiguration for production capacity state time-series prediction was presented.Handling methods of production capacity sate data grooming,data cleaning,and data mapping procedures were studied and proposed.Data assimilation model of production capacity sate was set up based on dynamic data reconfiguration,rapid retrieval method of assimilation data was presented based on process feature attributes matching.Application studies and example analyses were used to validate the actual handling process of production capacity state time-series data in certain steel enterprise.