作　　者： ; ; ; ; ;

机构地区： 中南大学资源加工与生物工程学院

出　　处： 《微机发展》 2004年第5期58-60,92,共4页

摘　　要： 浮选生产过程涉及许多变量以及存在严重的非线性,很难建立精确的数学模型,它的监控一直是困扰控制技术人员的难题。文中设计开发了一个用于选厂自动控制的浮选泡沫图像识别系统,并给出该系统VisualC++6.0的部分实现。利用该系统可以计算浮选泡沫图像的一些物理参数,通过这些物理参数以及浮选泡沫图像识别实验可以建立一定的数学模型,再通过这些数学模型可以精确预测浮选过程的工艺技术指标,从而为选厂过程的在线控制提供可靠数据依据。 There are many variables and very serious none-linearity in mineral processing, and it is very difficult to set up an accurate mathematic model, its monitor and control is a very difficult question puzzling manipulative technical experts. The flotation froth image recognition system which is used in automation at mineral processing factory has been designed, and the system is partly implemented with visual C+ + programming. You can calculate flotation froth's physical parameter, and set up a mathematic model by using these physical parameters and doing some mineral processing forth recognizing experiment. Also, you can forecast technical guideline of flotation process by using these models, then achieving dependable data used in the factory's online control.

关 键 词： 浮选泡沫 图像识别 在线控制

领　　域： [自动化与计算机技术] [自动化与计算机技术] [理学] [理学]