2019
DOI: 10.1088/1757-899x/679/1/012019
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Intelligent spraying installation for dust control in mine workings

Abstract: Design solution of an intelligent spraying installation for dust control in mine workings, developed within the ROCD project is presented. Current solution for reduction of airborne dust in the underground mining industry is described. Design as well as principles of operation of new solution based on the adaptive operation, consisting in adaptation of spraying intensity to the measured dust concentration are discussed. In conclusions, the directions of further research project are pointed out.

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Cited by 2 publications
(5 citation statements)
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“…The research conducted by Polish scientists of the Institute of Mining Technology [8] substantiates the effectiveness of an intelligent system for dust suppression of mine headings by liquid spraying and creating a wet curtain. The authors of the study propose a unit that uses compressed air and water.…”
Section: Introductionmentioning
confidence: 94%
“…The research conducted by Polish scientists of the Institute of Mining Technology [8] substantiates the effectiveness of an intelligent system for dust suppression of mine headings by liquid spraying and creating a wet curtain. The authors of the study propose a unit that uses compressed air and water.…”
Section: Introductionmentioning
confidence: 94%
“…Efficiency of PM 10 and PM2.5 dust dust reduction using three tested spraying devices (CZP BRYZA, TELESTO, PNIÓWEK) [Bałaga, 2019] The air-water spraying solutions presented in Fig. 2 significantly reduce airborne PM 10 dust levels and so improve the miners safety and work comfort of.…”
Section: Figmentioning
confidence: 99%
“…Studies on PM 2.5 dust indicate that this fraction causes human diseases, mainly related to the cardiovascular system. The KOMAG Institute has therefore designed a new SSD-1smart spraying device, , which will control both PM 10 and PM 2.5 dust [Bałaga, 2019]. The effectiveness of the device will be assessed in underground tests.…”
Section: Figmentioning
confidence: 99%
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