Operation Pattern Matching Based Reagent Addition Intelligent Optimization Setting For Antimony Rougher Flotation Process

Abstract:As an important operating variable in antimony roughing process, chemical reagent addition is usually set empirically by operators. This manual operating method has subjectivity, large time delay and low efficiency, leading to industrial fluctuation in rougher flotation, which is difficult to achieve the production targets. There is a large amount production data reflecting the flotation operating laws in antimony rougher flotation, including reagent addition information. Therefore, based on the analysis of antimony rougher flotation, the operation pattern theory is used, then reagent addition operation pattern is defined to study operation pattern matching based reagent addition optimization for antimony rougher flotation. The main contents and innovation are as follows:(1) Since good operation pattern library of reagent addition is very large, it can cause low efficiency of pattern matching and low accuracy. Thus, a fast level matching method of reagent addition operation pattern based on improved fuzzy C-means clustering is proposed. Firstly, improved fuzzy C-means clustering algorithm is used to adaptively classify good operation pattern of reagent addition, and the attribute importance of rough set and the weighted Euclidean distance is used to measure similarity of reagent addition operation pattern. This preliminary match quickly obtains the operation pattern subclass in the corresponding current working condition, and the secondary match will obtain a similarity good operation pattern set, which effectively improve the pattern matching speed when the accuracy of pattern matching is ensured.(2) Since it’s difficult to achieve the optimum reagent addition operation pattern corresponding to the current working condition in the good operation pattern library, a reagent addition pattern evolution method based on real-coded chaos genetic algorithm is proposed. Combined with multiple key technical indicators in roughing process, a comprehensive evaluation function and an evolution model of reagent addition operation pattern are built. Then, the chaotic variable is introduced into the genetic algorithm, so as to design a real-coded based chaos genetic algorithm using the real-coded form, which is applied to solve the optimal operation pattern of reagent addition corresponding to the current working condition. Finally, verification and analysis are achieved using the industrial data, the results show that the proposed method can quickly and effectively obtain the optimal operation pattern of reagent addition.(3) The proposed reagent addition optimization method based on operation pattern matching is verified in an antimony rougher flotation environment. The verification results show that the proposed method can improve the stability and pass rate of key rougher technical indicators, while improving the overall flotation process performance, thus proving the effectiveness of the proposed method. Figure17, table7, reference60.