CAJ | 학술논문

泡沫浮选广泛应用于选矿领域，它是一种能够有效提取矿粒的方法。但是，浮选过程存在着大量的影响因素和严重的非线性，这使得浮选过程的优化控制很难实现。因此，为了保证浮选处于最优工况，有必要依据浮选泡沫的表面特征来调整相应的操作变量。本文提出了基于动态纹理建模的方法应用于浮选工况的分类。采用 ARMA 模型进行动态纹理建模，通过样本学习得到模型参数A,C,Q。对不同类样本模型参数A,C计算其Martin距离，根据最小距离原则来进行分类识别。仿真结果表明：所提出的动态纹理模型能准确地描述动态泡沫，且能有效地检测浮选泡沫状态。
포말부선엄범응용우선광영역，타시일충능구유효제취광립적방법。단시，부선과정존재착대량적영향인소화엄중적비선성，저사득부선과정적우화공제흔난실현。인차，위료보증부선처우최우공황，유필요의거부선포말적표면특정래조정상응적조작변량。본문제출료기우동태문리건모적방법응용우부선공황적분류。채용 ARMA 모형진행동태문리건모，통과양본학습득도모형삼수A,C,Q。대불동류양본모형삼수A,C계산기Martin거리，근거최소거리원칙래진행분류식별。방진결과표명：소제출적동태문리모형능준학지묘술동태포말，차능유효지검측부선포말상태。
Froth flotation is widely used in mineral processing industry, it is an efficient method for extracting ore particles. In the flotation process, however, there are a large number of influencing factors and severe non-linear, which makes the optimization of the flotation process control is difficult to achieve. Therefore, in order to ensure the flotation is in optimum state, it is necessary to adjust the corresponding operating variables based on the surface characteristics of the froth. This paper presents a modeling approach based on dynamic texture used in the classification of flotation states. ARMA model is applied in dynamic texture modeling, and model parameters were obtained by the learning samples A, C, Q. For different types of samples of model parameters A and C, the Martin distance was calculated, and then the principle of the minimum distance was used for classification. Simulation results show that:the dynamic texture model can accurately describe dynamic froth, and can effectively detect flotation froth states.