Application of Froth Flotation Process in Biochemical Separation Technology 泡沫浮选在生化分离技术中的应用
FP-01 flotation froth picture processing system is introduced and the prospect of applications of picture processing technique in flotation process control is predicted. 介绍了FP-01浮选泡沫图像处理系统;指出了图像处理技术在浮选过程控制中的应用前景。
This paper describes the cause of the viscous froth produced in the flotation process of the secondary enrichment ore in a pyrite-type copper deposit. 本文对黄铁矿型铜矿次生富集带矿石在浮选过程中泡沫发粘,致使铜回收率大幅度下降的原因,进行了选矿矿物学的研究。
The operator's operation through observing artificially floatation froth has not met the computer control requirement in flotation process. 浮选工业过程由人工观测泡沫来进行现场操作已经不适应浮选过程计算机控制的需要。
At present, the control of operating variables in the bauxite flotation production is often based on the texture of the froth surface state. However, due to the limitation of the artificial observation, it is hard to guarantee the optimizing flotation process. 目前在精选生产中操作变量的调节主要依靠人工观察泡沫纹理特征,但由于人工观察的局限性,难以保证浮选生产工作在最佳状态。
The concentrate grade is an important quality indicator of the froth flotation process. At present, most of the flotation plant acquire the value of concentrate grade through offline laboratory. However, offline laboratory takes long time resulting in adjustment hysteresis. 精矿品位是泡沫浮选过程的重要质量指标,然而目前多数浮选工厂都是通过离线化验得到精矿品位,离线化验需要较长时间,导致调节滞后。
Froth flotation is a widely used process to extract certain minerals from ore, which involves extremely complex physical and chemical processes. 浮选是矿物分离中最广泛的一种选矿方法,涉及到极其复杂的物理化学过程。
Froth flotation is an efficient solid-liquid separation process, widely used in various industries such as wastewater treatment, water purification, mineral process and oil recovery. 浮选作为一种高效快速的固液分离技术,广泛应用于污水处理、水质净化、选矿和石油开采等诸多工业领域。
Froth flotation is the most widely used method to extract certain minerals from ore. During the flotation process, foam layer can be a direct response to the quality indicators. 泡沫浮选是应用最为广泛的一种矿物分选方法。在浮选过程中,泡沫层能直接反映浮选的质量指标。
In the machine vision based flotation process monitoring, researching the proper froth image processing methods and extracting the effective bubble features closely relating to the production condition of the flotation process are the prerequisites for subsequent flotation process modeling and optimization. 在基于机器视觉的矿物浮选过程监控中,研究合适的泡沫图像处理和分析方法以获取与生产工况密切相关的泡沫表面视觉特征参量是进行后续浮选过程建模与自动控制的基础。