马尔柯夫过程与选矿随机模型

Markovian Process and the Randomness Model for Ore Dressing

本文在前人工作的基础上,根据矿石颗粒在选矿设备中或流程中运动的随机性和统计性,提出以下的假设:选矿生产处于稳定状态时,宽分布粒群中不同颗粒运动条件虽然不同,但相同颗粒(严格地说,是指同大小,同形状,同比重)所处的环境条件却是相同的,因而其运动的概率也是相同的。各种颗粒的运动均可以用马尔柯夫随机过程来描述。在此文中根据时间连续、状态有限和时齐的马尔柯夫过程的方法建立了研究某些选矿工艺过程的理论的随机模型。同时进行了一些实验验证。

With reference to the work done before by others, in view of the randomness and statistics in the movement of mineral particles in the ore dressing equipment or flow path, a hypothesis is proposed as follows: when ore dressing is kept in a state of stability, although the movement conditions for various kind of particles in the groups of particles in wide distribution may vary, the same particles(stric- tly speaking of identical size, shape and specific gravity) exist in the same environmental condition. Thus the probability of their movement is just equal. The movement of various particles can be described with Markovian randomness process. In present paper a randomness model of studying some technological the- ories in ore dressing is presented, using the methods of Markvoiuan process in con- nection with time continuance, limited state and homogenous vime: And some ex- perimental tests has been made.