Web27 Jun 2024 · Key factors for successful thickener control include bed level, bed mass inventory, underflow density, overflow transparency, and flocculent dosage. All these … WebLevel control in thickeners helps to keep the bed level on the desired level to achieve maximum water recovery and also avoid to increase the turbidity of overflow. Nowadays, ultrasonic sensors are widely used (and probably an innovative sensor based on electrical conductivity introduced by J. Finch) in thickeners. The problem arise when this ...
Advanced thickener control Semantic Scholar
Web29 Apr 1999 · Thickener control is a complex process and a workable expert control system that could be applied across a range of applications has not been available. With the … Web1 Jan 2024 · Thickener control instrumentation not b eing adequate or ... One of the key parameters in successful implementation of thickened tailings scheme for tailings management of mining projects is the ... thimble\u0027s gx
Data-Driven Tube-based Model Predictive Control of an Industrial Thickener
WebThickener control is a complex process and a workable expert control system that could be applied across a range of applications has not been available. Web7 Apr 2024 · Increasing thickener profitability through integrated online monitoring Integrated online monitoring simplifies the convoluted process of monitoring data, which is central to precise process control in … Web13 Nov 2024 · Abstract: This article presents a real implementation of a neural network-based model predictive control scheme (NNMPC) to control an industrial paste thickener. The implementation is done over an Industrial Internet of Things (IIoT) platform designed using the seven layer reference model for IIoT systems. thimble\\u0027s gy