Multi-model integration for predicting circulating load ratio based on clustering SAG milling operating conditions

IF 5.4 2区计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS

Control Engineering Practice Pub Date : 2024-10-15 DOI:10.1016/j.conengprac.2024.106129

Zhenhong Liao , Ce Xu , Wen Chen , Feng Wang , Jinhua She

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引用次数: 0

Abstract

Grinding in mineral processing is used to control the ore at the technically feasible and economically optimum particle size to achieve mineral liberation for separation. A circulating-load ratio (CLR) during a semi-autogenous grinding (SAG) milling process is critical for controlling particle size and energy consumption. This paper presents a CLR-prediction model based on clustering SAG milling operating conditions. First, operating parameters affecting the CLR are identified by comprehensively analyzing the complex mechanism and characteristics of a typical industrial SAG milling process. Next, a method is developed to cluster operating conditions of the SAG milling process based on the power consumption and CLR of the process. The method reveals the actual physical significance of each operating condition. Then, support vector regression (SVR) is used to model the CLR in each operating condition. After that, a distance-based model integration strategy is designed to determine the weights of each SVR model to predict the CLR. Finally, integrating the SVR submodels yields a CLR prediction model. Actual run data demonstrated the accuracy and effectiveness of the model in predicting CLR. This method has significant practical value for improving SAG milling efficiency via its utilization in control system design.

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基于聚类 SAG 磨削操作条件的循环负载率预测多模型集成

矿物加工中的磨矿是将矿石控制在技术上可行、经济上最佳的粒度，以实现矿物分离。半自磨机（SAG）研磨过程中的循环负荷率（CLR）对于控制粒度和能耗至关重要。本文提出了一种基于 SAG 研磨操作条件聚类的 CLR 预测模型。首先，通过全面分析典型工业 SAG 研磨过程的复杂机理和特征，确定了影响 CLR 的操作参数。然后，根据 SAG 磨工艺的功耗和 CLR，开发了一种对 SAG 磨工艺操作条件进行聚类的方法。该方法揭示了每个运行条件的实际物理意义。然后，使用支持向量回归（SVR）对每种操作条件下的 CLR 进行建模。然后，设计一种基于距离的模型集成策略，以确定每个 SVR 模型的权重，从而预测 CLR。最后，对 SVR 子模型进行整合，得出 CLR 预测模型。实际运行数据证明了该模型预测 CLR 的准确性和有效性。这种方法在控制系统设计中的应用对于提高 SAG 磨矿效率具有重要的实用价值。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Control Engineering Practice 工程技术-工程：电子与电气

CiteScore

9.20

自引率

12.20%

发文量

183

审稿时长

44 days

期刊介绍： Control Engineering Practice strives to meet the needs of industrial practitioners and industrially related academics and researchers. It publishes papers which illustrate the direct application of control theory and its supporting tools in all possible areas of automation. As a result, the journal only contains papers which can be considered to have made significant contributions to the application of advanced control techniques. It is normally expected that practical results should be included, but where simulation only studies are available, it is necessary to demonstrate that the simulation model is representative of a genuine application. Strictly theoretical papers will find a more appropriate home in Control Engineering Practice''s sister publication, Automatica. It is also expected that papers are innovative with respect to the state of the art and are sufficiently detailed for a reader to be able to duplicate the main results of the paper (supplementary material, including datasets, tables, code and any relevant interactive material can be made available and downloaded from the website). The benefits of the presented methods must be made very clear and the new techniques must be compared and contrasted with results obtained using existing methods. Moreover, a thorough analysis of failures that may happen in the design process and implementation can also be part of the paper. The scope of Control Engineering Practice matches the activities of IFAC. Papers demonstrating the contribution of automation and control in improving the performance, quality, productivity, sustainability, resource and energy efficiency, and the manageability of systems and processes for the benefit of mankind and are relevant to industrial practitioners are most welcome.