Forecasting Prevention of Air Pollution Using Aan Intelligent Environmental System

M. Bashirov, R. Vildanov, A. Khafizov, A. Khismatullin, D. Akchurin
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Abstract

The article deals with the actual problem of atmospheric air pollution with technogenic chemicals that negatively affect the ecology of the Salavat air basin of the Republic of Bashkortostan. An intelligent environmental monitoring system is proposed, which is able to give an integral assessment of the state of the city's air basin, identify sources of increased air pollution, process information using an artificial neural network in online mode, and also develop recommendations for enterprises to optimize their operating mode.
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利用智能环境系统预测空气污染防治情况
文章论述了大气空气污染的实际问题,即对巴什科尔托斯坦共和国萨拉瓦特(Salavat)空气盆地生态造成负面影响的技术化学物质。文章提出了一种智能环境监测系统,该系统能够对城市空气盆地的状况进行综合评估,识别空气污染加剧的来源,利用在线模式下的人工神经网络处理信息,并为企业优化运营模式提出建议。
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