Intelligent safety adjustment of branch airflow volume during ventilation-on-demand changes in coal mines

Wang, Kai; Jiang, Shuguang; Wu, Zhiyong; Shao, Huili; Zhang, Weiqing; Pei, Xiaodong; Cui, Chuanbo

doi:10.1016/j.psep.2017.08.024

Cited by 30 publications

(11 citation statements)

References 28 publications

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“…It can provide three-dimensional ventilation design, ventilation network calculation, fan selection and dynamic simulation of a ventilation process. Advanced functions include thermal simulations and pollutant diffusion simulations, [21][22][23] dynamic simulations of air flow and colouring of various flows. It is very convenient to set up the models for air flow, pressure, ventilation costs and other major data related to ventilation.…”

Section: Characteristics Of Smoke Flow In the Tunnel Networkmentioning

confidence: 99%

Study on fire smoke flow characteristics in the ventilation network and linkage control system in coal mines

et al. 2020

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Section: Characteristics Of Smoke Flow In the Tunnel Networkmentioning

confidence: 99%

Study on fire smoke flow characteristics in the ventilation network and linkage control system in coal mines

et al. 2020

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“…After mining, damaged coals and rocks—residual coals, plus materials from the overlying strata and immediate roof—fill in goafs. Because of its high permeability and porosity, the caving zones contain gases, which may be from the adjacent unmined coal seams and/or the mined coal seams . The impact forces that are caused by the roof collapse have an important effect on the gas seepage field in goafs.…”

Section: Numerical Analysis Of the Roof Movement On Gas Migration In mentioning

confidence: 99%

“…Because of its high permeability and porosity, the caving zones contain gases, which may be from the adjacent unmined coal seams and/or the mined coal seams. 38,[41][42][43] The impact forces that are caused by the roof collapse have an important effect on the gas seepage field in goafs.…”

Section: Numerical Analysis Of the Roof Movement On Gas Migration Imentioning

confidence: 99%

Effect of roof movement on gas flow in an extremely thick coal seam under fully mechanized sublevel caving mining conditions

Guo

Cui

et al. 2019

Energy Science & Engineering

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The abnormal emission of gas in coals is the main factor that induces serious gas disasters in coal mines. During the coal mining process, roof movement has important effects on the gas emission law and gas flow characteristics. In this study, an extremely thick coal seam under fully mechanized sublevel caving mining conditions from the Tashan coal mine in China was used as an example; the effect of roof weighting on gas emission in the goaf was studied. Then, the large roof weighting step and the small roof weighting step caused by the different thicknesses of lamprophyre breakage were used as the objects and a numerical simulation study on the gas flow characteristics in the goaf was carried out. The results indicate that the mining coal seams, the overlying adjacent unmined coal seams, and the goaf are the main contributors to the large gas emission capacity, and even situations exist where the gas concentration exceeds the limit in the working face. During roof weighting, the gas concentration and emission capacity in the return airway, upper corner, and high drainage roadway increase substantially. The results of the numerical analysis are in good agreement with the observed data, which indicates that it is effective to control the gas in coal seams by designing the location of high drainage roadway according to the mining characteristics of coal seam and the gas emission law.

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“…Muduli et al [ 31 ] proposed a novel wireless sensor network deployment scheme for environmental monitoring in longwall coal mines, which provided the best area coverage and was very cost-effective. Automated ventilation system adjustment software has been developed by monitoring the air volume of the minimum remainder branch in the network, and all air volumes of the branches in the network can be obtained by inverse calculation of associated branches [ 32 ]. Song et al [ 33 ] proposed a method for determining the changing trend of gas concentration in the goaf.…”

Section: Introductionmentioning

confidence: 99%

Efficient Graphical Algorithm of Sensor Distribution and Air Volume Reconstruction for a Smart Mine Ventilation Network

Liu

Gao

et al. 2022

Sensors

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The accurate and reliable monitoring of ventilation parameters is key to intelligent ventilation systems. In order to realize the visualization of airflow, it is essential to solve the airflow reconstruction problem using few sensors. In this study, a new concept called independent cut set that depends on the structure of the underlying graph is presented to determine the minimum number and location of sensors. We evaluated its effectiveness in a coal mine owned by Jinmei Corporation Limited (Jinmei Co., Ltd). Our results indicated that fewer than 30% of tunnels needed to have wind speed sensors set up to reconstruct the well-posed airflow of all the tunnels (>200 in some mines). The results showed that the algorithm was feasible. The reconstructed air volume of the ventilation network using this algorithm was the same as the actual air volume. The algorithm provides theoretical support for flow reconstruction.

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Intelligent safety adjustment of branch airflow volume during ventilation-on-demand changes in coal mines

Cited by 30 publications

References 28 publications

Study on fire smoke flow characteristics in the ventilation network and linkage control system in coal mines

Study on fire smoke flow characteristics in the ventilation network and linkage control system in coal mines

Effect of roof movement on gas flow in an extremely thick coal seam under fully mechanized sublevel caving mining conditions

Efficient Graphical Algorithm of Sensor Distribution and Air Volume Reconstruction for a Smart Mine Ventilation Network

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