Performance Analysis of a Silo-SlideGate-Feeder System to Regulate the Ore Flow by DEM Simulation

Souza, Leonardo Carvalho Oliveira de; Júnior, Olemar T. L.; Barros, João Lucas; Yamashita, André S.; Euzébio, Thiago A. M.

doi:10.1007/s40313-021-00879-7

Cited by 3 publications

(2 citation statements)

References 16 publications

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“…Although TSF monitoring systems apply Industry 4.0 tools in the initial stage, there are relevant advances that could be adopted from related mineral processing facilities. Souza et al [110] address the issue of severe variability in the fresh feed ore flow rate in a crushing circuit, which can lead to operational problems such as conveyor belt and sieve overload, interlocked crushers, early equipment wear, and silo overflow. This work presents a digital twin approach, where a digital model interacts with a physical asset.…”

Section: Gapsmentioning

confidence: 99%

Sensor Technologies for Safety Monitoring in Mine Tailings Storage Facilities: Solutions in the Industry 4.0 Era

Cacciuttolo,

Guzmán,

Catriñir

et al. 2024

Minerals

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The recent tailings storage facility (TSF) dam failures recorded around the world have concerned society in general, forcing the mining industry to improve its operating standards, invest greater economic resources, and implement the best available technologies (BATs) to control TSFs for safety purposes and avoid spills, accidents, and collapses. In this context, and as the era of digitalization and Industry 4.0 continues, monitoring technologies based on sensors have become increasingly common in the mining industry. This article studies the state of the art of implementing sensor technologies to monitor structural health and safety management issues in TSFs, highlighting advances and experiences through a review of the scientific literature on the topic. The methodology applied in this article adheres to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines and utilizes scientific maps for data visualization. To do so, three steps were implemented: (i) a quantitative bibliometric analysis, (ii) a qualitative systematic review of the literature, and (iii) a mixed review to integrate the findings from (i) and (ii). As a result, this article presents the main advances, gaps, and future trends regarding the main characteristics of the sensor technologies applied to monitor TSF structural health and safety management in the era of digitalization. According to the results, the existing research predominantly investigates certain TSF sensor technologies, such as wireless real-time monitoring, remote sensors (RS), unmanned aerial vehicles (UAVs), unmanned survey vessels (USVs), artificial intelligence (AI), cloud computing (CC), and Internet of Things (IoT) approaches, among others. These technologies stand out for their potential to improve the safety management monitoring of mine tailings, which is particularly significant in the context of climate change-related hazards, and to reduce the risk of TSF failures. They are recognized as emerging smart mining solutions with reliable, simple, scalable, secure, and competitive characteristics.

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Section: Gapsmentioning

confidence: 99%

Sensor Technologies for Safety Monitoring in Mine Tailings Storage Facilities: Solutions in the Industry 4.0 Era

Cacciuttolo,

Guzmán,

Catriñir

et al. 2024

Minerals

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“…The manipulated variable is the engine speed and the process variable is the ore flow calculated based on the scale measured. The main disturbance in this process consists of the variation in the height of the mass layer in the feeder, which can occur depending on the level of the silo where the trucks dump the material to be processed [18]. Due to the long distances of the conveyor belt circuit, an ore tracking system is used.…”

Section: Crushing Process and Transport By Conveyor Beltsmentioning

confidence: 99%

Delay Compensation in a Feeder–Conveyor System Using the Smith Predictor: A Case Study in an Iron Ore Processing Plant

Moraes,

da Silva,

Euzébio

2024

Sensors

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Conveyor belts serve as the primary mode of ore transportation in mineral processing plants. Feeders, comprised of shorter conveyors, regulate the material flow from silos to longer conveyor belts by adjusting their velocity. This velocity manipulation is facilitated by automatic controllers that gauge the material weight on the conveyor using scales. However, due to positioning constraints of these scales, a notable delay ensues between measurement and the adjustment of the feeder speed. This dead time poses a significant challenge in control design, aiming to prevent oscillations in material levels on the conveyor belt. This paper contributes in two key areas: firstly, through a simulation-based comparison of various control techniques addressing this issue across diverse scenarios; secondly, by implementing the Smith predictor solution in an operational plant and contrasting its performance with that of a single PID controller. Evaluation spans both the transient flow rate during step change setpoints and a month-long assessment. The experimental results reveal a notable increase in production by 355 t/h and a substantial reduction in flow rate oscillations on the conveyor belt, evidenced by a 55% decrease in the standard deviation.

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Improved Manipulator for Maintenance of the Cassette Gates of Steel-Pouring Ladles

et al. 2022

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Performance Analysis of a Silo-SlideGate-Feeder System to Regulate the Ore Flow by DEM Simulation

Cited by 3 publications

References 16 publications

Sensor Technologies for Safety Monitoring in Mine Tailings Storage Facilities: Solutions in the Industry 4.0 Era

Sensor Technologies for Safety Monitoring in Mine Tailings Storage Facilities: Solutions in the Industry 4.0 Era

Delay Compensation in a Feeder–Conveyor System Using the Smith Predictor: A Case Study in an Iron Ore Processing Plant

Improved Manipulator for Maintenance of the Cassette Gates of Steel-Pouring Ladles

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