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ANALYZING AIR POLLUTION FORECASTING SYSTEM MODELS TO DEVELOP AN INNOVATIVE IOT BASED NEURAL NETWORK AIR QUALITY MONITORING FORECASTING AND TARGETED EMERGENCY DISPOSAL SYSTEM

Aditi Garg

47-52

Vol. 8, Jul-Dec, 2018

Date of Submission: 2018-07-03 Date of Acceptance: 2018-08-12 Date of Publication: 2018-08-22

Abstract

Using discovered study, typical air automatic observant system has high preciseness, however giant bulk, high cost, and single information category build it not possible for large-scale installation. supported introducing net of Things(IOT) into the sector of environmental protection, this paper puts forward a sort of time period pollution watching and foretelling system. By mistreatment IOT, this method will cut back the hardware price into 1/10 as before. The system is ordered go in an oversized range in watching space to create watching device network. Besides the functions of typical air automatic watching system, it additionally exhibits the operate of foretelling development trend of pollution among a precise time vary by analyzing the information obtained by front-end perception system in line with neural network technology. Targeted emergency disposal measures is taken to attenuate losses in utilization. Top breitling replica watches UK online with practical functions for female and male watch wearers.
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