过程(计算)
一致性(知识库)
质量(理念)
计算机科学
工程类
控制(管理)
工艺工程
大数据
算法
数据挖掘
人工智能
哲学
操作系统
认识论
作者
Qianqian Li,Jingqi Zeng,Lijuan Ma,Jinyuan Zhu,Fangyu Zhang,Yunan Wei,Mingshuang Li,Lu Yao,Jing Du,Zhisheng Wu
标识
DOI:10.1016/j.jii.2023.100454
摘要
The overall quality consistency (OQC) evaluation of Chinese meteria medica (CMM) from multi-batch is a paramount issue in digital production process. To solve this problem, an industrial information integrated strategy composed with a two-step digital process control and OQC diagnosis strategy are proposed in the complex system of big honeyed pill. The two-step digital control is successively invested to acquire the critical quality attributes (CQAs) so as to excavate the primary parameters to control the consistency from honey refining procedure to He-Tuo procedure especially through online near infrared (NIR) monitoring with physical and chemical attributes. The OQC diagnosis strategy is proposed to figure out multi-batch of OQC from different perspectives by integrating individual method through data fusion approach. As a result, three out of 30 batches of samples are discovered by the information integrated strategy with the weights of 27.82%, 44.60% and 27.58% for NIR, mid-infrared (MIR) and texture technologies. Moreover, the diagnosed samples are executed by the zebrafish efficacy as an in vivo test, which indicates that the OQC diagnosis strategy is a promising method. Besides, the proposed information integrated strategy provides theoretical and practical cornerstones for guaranteeing the multi-batch overall quality especially for the digital and intelligent of CMM industrialization.
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