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Microprocessor control of devices systems of pneumatic container delivery for the analysis of samples of concentrating and metallurgical production

机译:气动容器输送设备系统的微处理器控制,用于分析浓缩和冶金生产的样品

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It is well known that automatic control of any process implies continuous or infrequent monitoring process parameters. At the ore dressing mills and metallurgical plants, such parameters may include composition of feedstock, fluxes, reagents, intermediate products, final tailings and wastewater. Usually, this information is supplied by the automated analytical monitoring system (AAMS), in which the main component is the automated sub-system for sampling and representative test sample transportation. This paper is dedicated to current issues regarding optimization of the microprocessor-based control system by the use of robotic mechanisms and devices in the pneumatic test sample capsule transportation facility and computer-aided modelling. The article describes a functional scheme of the pneumatic conveying system. Here, control signals are optimized, the algorithms and schemes of universal microprocessor of controlled system are outlined.
机译:众所周知,任何过程的自动控制都意味着连续或不频繁地监视过程参数。在选矿厂和冶金厂,这些参数可能包括原料,焊剂,试剂,中间产品,最终尾矿和废水的成分。通常,此信息由自动分析监控系统(AAMS)提供,其中的主要组件是用于采样和代表性测试样品运输的自动化子系统。本文致力于解决当前问题,这些问题涉及通过在气动测试样品胶囊运输设施中使用机器人机制和设备以及计算机辅助建模来优化基于微处理器的控制系统。本文介绍了气力输送系统的功能方案。在此,对控制信号进行了优化,概述了受控系统通用微处理器的算法和方案。

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