With the pursuit of profit, the operating performance assessment of industrial processes has gradually attracted attention and concentration in modern industrial production. However, owing to the complexity of plant-wide processes, many existing operating performance assessment techniques are lacking in interpretation of the assessment result, and the cause identification is also difficult for the nonoptimal operating performance. In this study, a new operating performance assessment method is proposed for plant-wide processes based on hierarchical multiblock total projection to latent structures (T-PLS). The proposed approach divides the process variables into several conceptually meaningful blocks and incorporates block information into high level for operating performance assessment of plant-wide processes. With the new method, the assessment task can be greatly reduced and the interpretability of the assessment models are greatly improved. Once the process operating performance is nonoptimal, the responsible block is first located by the block assessment result, and then the variable contributions are calculated in the corresponding block so as to narrow the search and improve the accuracy of the cause identification result. A case study of the gold hydrometallurgy process evaluates the feasibility and efficiency of the proposed method.

中文翻译：

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基于分层多块T-PLS的工厂范围过程性能评估

随着对利润的追求，对工业过程的运行绩效评估逐渐引起了现代工业生产的关注和集中。但是，由于整个工厂过程的复杂性，评估结果的解释缺乏许多现有的操作性能评估技术，并且对于非最佳操作性能，原因识别也很困难。在这项研究中，提出了一种新的运行绩效评估方法，该方法用于工厂范围的过程，该过程基于对潜在结构（T-PLS）的分层多块总投影。所提出的方法将过程变量分为几个概念上有意义的块，并将块信息合并到高层，以评估整个工厂范围的过程的运行性能。使用新方法 可以大大减少评估任务，并大大提高评估模型的可解释性。一旦过程操作性能不佳，首先要根据块评估结果确定责任块，然后在相应块中计算变量贡献，以缩小搜索范围并提高原因识别结果的准确性。以金湿法冶炼工艺为例，评价了该方法的可行性和有效性。然后在相应的块中计算变量贡献，以缩小搜索范围并提高原因识别结果的准确性。以金湿法冶炼工艺为例，评价了该方法的可行性和有效性。然后在相应的块中计算变量贡献，以缩小搜索范围并提高原因识别结果的准确性。以金湿法冶炼工艺为例，评价了该方法的可行性和有效性。