Monitoring and prediction of dust concentration in an open-pit mine using a deep-learning algorithm

Li, Lin; Zhang, Ruixin; Sun, Jiandong; He, Qian; Kong, Lingzhen; Liu, Xin

doi:10.1007/s40201-021-00613-0

Cited by 42 publications

(15 citation statements)

References 38 publications

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“…There are three methods to investigate the atmospheric flow field in the open pit, theory, numerical simulations and experiments. Due to the limitation of experimental conditions and development of the CFD (Computational fluid dynamics) (Yang et al 2019;Teng et al2014;Teng and Jiang 2012), most of the research focuses on numerical simulation (Tartakovsky et al 2013;Pedro et al 2021;Wang et al 2021;Ma et al 2020;Li et al 2021;Zhang et al 2018). Tang used Fluent to study the dust move in the pit and escape rate and time out of the pit (Tang and Cai 2018).…”

Section: Introductionmentioning

confidence: 99%

Investigation on flow field characteristics in an open-pit coal mine

Tang

Xiang

et al. 2022

Environ Sci Pollut Res

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In this paper, the atmospheric flow field characteristics in a deep open-pit mine are investigated numerically and theoretically. A theoretical model on the recirculation length based on the energy equation is used, a total variation diminishing (TVD) difference scheme with second order accuracy is used to solve the NS equations with a standard two-equation k-ε turbulence model. The effects of elevated inner dump on the flow field characteristics of the open-pit mine are analyzed detailly with the same inflow parameters. The results show that a recirculation zone exists in the open-pit mine due to the reflux from the high-pressure zone to the low-pressure zone. As the height of the inner dump increases, the flow becomes more complicated, the low-pressure zone and the recirculation zone becomes bigger. The elevated inner dump makes it difficult for the internal fluid to flow to the outside, which results in the increase of the dust concentration. At last, the influences of key parameters on flow filed are conducted by normalizing the depth of the lowest direct current flow on the windward slope. The sensitivity analysis is done by study each influencing factor. This paper offers an effective way to study the flow field characteristics in an open-pit coal mine, which is essential to the dust pollution control of open-pit mine.

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Section: Introductionmentioning

confidence: 99%

Investigation on flow field characteristics in an open-pit coal mine

Tang

Xiang

et al. 2022

Environ Sci Pollut Res

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“…Large dust amounts are generated during coal open-cast mines operation [ 22 , 23 , 24 ]: a place where trucks and working machines are used. They are equipped with high-power engines, and therefore, have a large air requirement, sucking in a large amount of dust.…”

Section: Introductionmentioning

confidence: 99%

“…The authors of [ 23 ] analyzed dust distribution in a Chinese open-cast mine and found a very high (426 g/m 3 ) dust concentration around the working area of the devices. On the other hand, the authors of [ 24 ] determined dust concentrations in the Pingshuo mining area in China at about 60 g/m 3 , 114 g/m 3 , and 250 g/m 3 for PM2.5, PM10, and TSP, respectively.…”

Section: Introductionmentioning

confidence: 99%

Experimental Research of Fibrous Materials for Two-Stage Filtration of the Intake Air of Internal Combustion Engines

et al. 2021

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Pollutant properties in intake air to internal combustion engines were analyzed. Mineral dust particles’ influence on accelerated engine components’ wear was discussed. Dust concentration values in the air under various operating conditions in trucks and special vehicles were presented. The idea and necessity for using two-stage filters, operating in a “multi-cyclone–porous partition” system for vehicles operated in dusty air conditions, are presented. Information from the literature information has been presented, showing that impurities in small grain sizes reduce fiber bed absorbency. It has been shown that such a phenomenon occurs during filter material operation, located directly behind the inertial filter (multi-cyclone), which off-road vehicles are equipped with. It results in a greater pressure drop intensity increase and a shorter proper filter operation period. It has been shown that filter material selection for the motor vehicle air filter requires knowledge of the mass of stopped dust per filtration unit area (dust absorption coefficient km) determined for a given permissible resistance value Δpfdop. It has been shown that there is no information on absorption coefficient values for filter materials operating in a two-stage “multi-cyclone–porous partition” separation system. Original methodology and conditions for determining dust absorption coefficient (km) of a separation partition, operating under the conditions of two-stage filtration, were presented. The following characteristics were tested: separation efficiency, filtration performance, and pressure drop characteristics of three different filtration partitions. These were A (cellulose), B (cellulose and polyester), and C (cellulose, polyester, and nanofibers layer), working individually and in a two-stage system—behind the cyclone. Granulometric dust composition dosed into the cyclone and cyclone downstream was determined. During tests, conditions corresponding to air filter’s actual operating conditions, including separation speed and dust concentration in the air, were maintained. For the pressure drop values, the dust absorption coefficient (km) values of three different filtration partitions (A, B, and C), working individually and in a two-stage system—behind the cyclone—were determined experimentally.

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“…Li used the ARIMA model and the LSTM model to predict the concentration of TSP in open-pit coal mines. Finally, several error statistical measures were used to evaluate the accuracy of the model, and sensitivity analysis was performed 25 . Wang combined the proposed non-linear metabolic gray model (NMGM) with the ARIMA model to create the NMGM-ARIMA technology, which can help researchers, policymakers, analysts and other stakeholders make more timely and accurate predictions of U.S. shale oil production 26 .…”

Section: Introductionmentioning

confidence: 99%

Analysis and Prediction of Sulfate Erosion Damage of Concrete in Service Tunnel based on ARIMA Model

Liu¹,

Chen²,

Tao³

et al. 2021

Preprint

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Sulfate erosion is a major cause of concrete durability deteriorations, especially for the service tunnels which are in sulfate erosion for a long time. Accurately predicting the concrete damage failure under sulfate erosion has been a challenging problem in the evaluation and maintenance of concrete structures. Here we design the dry-wet cycle test of service tunnel concrete under sulfate erosion, and analyze the Elastic relative dynamic modulus(Erd) and mass under 35 times cycle periods. Then we develop an autoregressive integrated moving average (ARIMA) prediction model linking damage failure to Erd and mass. The results show that the deterioration of concrete first increased and then decreased with an extension of the dry–wet cycle period. Moreover, based on a finite set of training data, the proposed prediction approach shows high accuracy for the changes of concrete damage failure parameters in or out of the training dataset. The ARIMA method is proven to be feasible and efficient for predicting the concrete damage failure of service tunnel under sulfate erosion for a long time.

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Monitoring and prediction of dust concentration in an open-pit mine using a deep-learning algorithm

Cited by 42 publications

References 38 publications

Investigation on flow field characteristics in an open-pit coal mine

Investigation on flow field characteristics in an open-pit coal mine

Experimental Research of Fibrous Materials for Two-Stage Filtration of the Intake Air of Internal Combustion Engines

Analysis and Prediction of Sulfate Erosion Damage of Concrete in Service Tunnel based on ARIMA Model

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