Applications of online monitoring technology for tailings dam on digital mine

Guo, Yu; Song, Chuan-wang; Zou, Jing-bo; Wu, Yanxia; Pan, Yongzhan; Li, Liang; Li, Ran; Wang, Pei-shou; Yanlei, Wang

doi:10.1016/s1003-6326(12)61648-3

Cited by 13 publications

(6 citation statements)

References 1 publication

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“…Additionally, the use of Artificial Neural Network to create a model to forecast the amount of water discharged by the gate and in keeping the water level under control [20]; A neural network that improved gates outflow compared to traditional methods [52]; An evaluation tool to forecast water management, sludges and chemical products used in agriculture, which takes into account economics and environmental issues on the region supplied by Caia River [24]; A Fuzzy Logic based on two algorithms that shown efficiency at identifying a high probability of floods events and providing reliable results if compared with manual control ones [53].…”

Section: Systematic Literature Review On Economic and Environmental Amentioning

confidence: 99%

Economic, Environmental and Social Gains of the Implementation of Artificial Intelligence at Dam Operations toward Industry 4.0 Principles

et al. 2020

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Due to the increasing demand for water supply of urban areas, treatment and supply plants are becoming important to ensure availability and quality of this essential resource for human health. Enabling technologies of Industry 4.0 have the potential to improve performances of treatment plants. In this paper, after reviewing contributions in scientific literature on I4.0 technologies in dam operations, a study carried out on a Brazilian dam is presented and discussed. The main purpose of the study is to evaluate the economic, environmental, and social advantages achieved through the adoption of Artificial Intelligence (AI) in dam operations. Unlike automation that just respond to commands, AI uses a large amount of data training to make computers able to take the best decision. The current study involved a company that managed six reservoirs for treatment systems supplying water to almost ten million people at the metropolitan area of São Paulo City. Results of the study show that AI adoption could lead to economic gain in figures around US$ 51,000.00 per year, as well as less trips between sites and less overtime extra costs on the main operations. Increasing gates maneuvers agility result in significant environmental gains with savings of about 4.32 billion L of water per year, enough to supply 73,000 people. Also, decreasing operational vehicle utilization results in less emissions. Finally, the AI implementation improved the safety of dam operations, resulting in social benefits such as the flood risk mitigation in cities and the health and safety of operators.

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Section: Systematic Literature Review On Economic and Environmental Amentioning

confidence: 99%

Economic, Environmental and Social Gains of the Implementation of Artificial Intelligence at Dam Operations toward Industry 4.0 Principles

et al. 2020

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“…Each parameter should be assigned acceptable tolerances for displacements, velocity, or acceleration and related to the overall dam. Monitored parameters and tolerances are linked Beyond the significant work done by UNB, only a few research and development have focused on tailings dam monitoring practices (Yu et al 2011;Li et al 2011;Hu et al 2011;Sun et al 2012). There is still a need for research into the optimal integration of various monitoring techniques, the optimal fusion of available signal processing technologies, and the improvement of measurement reliability and cost-efficiency.…”

Section: R a F Tmentioning

confidence: 99%

Real-time monitoring for structural health, public safety, and risk management of mine tailings dams

2018

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Public awareness of tailings dam failures is increasing in the wake of incidents in Canada and abroad. The present work establishes the current state of practice in mine tailings dam monitoring and provides a summary of the current technical and operational gaps identified through industry and stakeholder engagement. These gaps may be addressed with currently available technologies supplied by commercial instrumentation manufacturers; however, the assumed costs and lack of regulatory demand may serve as barriers to adoption. An integrated approach and diverse suite of technologies is needed to address issues of dam stability, worker and public safety, and environmental protection. Technological applications and limitations are described and design requirements are proposed for an integrated, real-time monitoring system. Socio-economic impacts and loss reduction benefits are considered and the need for industry and regulator participation is emphasized.

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“…TDs are used to dispose of tailings waste, as shown in Figure 1. Once the TD collapses, an enormously destructive debris flow will flock to the downstream area, causing great harm to downstream lives and property and polluting the environment seriously [2]. 300 people were killed in the disaster of Brumadinho in Brazil [3].…”

Section: Introductionmentioning

confidence: 99%

Investigation on Shear Wave Velocity and Triaxial Mechanical Performance of Tailings Core from Tailings Dam

Luo

2021

Advances in Civil Engineering

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The physical and mechanical parameters of tailings are important to study the stability of tailings dams (TDs). In this study, a series of laboratory experiments (shear wave velocity, triaxial compressive, and peak strain strength testing) were conducted to obtain the mechanical properties of tailings from TD. The results showed the following. (1) The linear function fitting could characterize the quantitative relationship between shear wave velocity and hole depth. (2) The corresponding static pressure coefficient increased as the confining pressure increased. The exponential fitting could characterize the quantitative function relation between the static pressure coefficient and the confining pressure. (3) The cohesion and internal friction angle of the tailings sample were 20 kPa and 41°, respectively, and the logarithmic fitting could better characterize the quantitative relation between shear peak strength and confining pressure. The results of this study can provide important references for further research on the stability of TD.

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Applications of online monitoring technology for tailings dam on digital mine

Cited by 13 publications

References 1 publication

Economic, Environmental and Social Gains of the Implementation of Artificial Intelligence at Dam Operations toward Industry 4.0 Principles

Economic, Environmental and Social Gains of the Implementation of Artificial Intelligence at Dam Operations toward Industry 4.0 Principles

Real-time monitoring for structural health, public safety, and risk management of mine tailings dams

Investigation on Shear Wave Velocity and Triaxial Mechanical Performance of Tailings Core from Tailings Dam

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